Non-contrast coronary magnetic resonance angiography: current frontiers and future horizons

go back to reference Manning WJ, Li W, Edelman RR (1993) A preliminary report comparing magnetic resonance coronary angiography with conventional angiography. N Engl J Med 328:828–832PubMedCrossRef Manning WJ, Li W, Edelman RR (1993) A preliminary report comparing magnetic resonance coronary angiography with conventional angiography. N Engl J Med 328:828–832PubMedCrossRef

go back to reference Dewey M (2011) Coronary CT versus MR angiography: pro CT—the role of CT angiography. Radiology 258:329–339PubMedCrossRef Dewey M (2011) Coronary CT versus MR angiography: pro CT—the role of CT angiography. Radiology 258:329–339PubMedCrossRef

go back to reference Di Leo G, Fisci E, Secchi F, Alì M, Ambrogi F, Sconfienza LM, Sardanelli F (2016) Diagnostic accuracy of magnetic resonance angiography for detection of coronary artery disease: a systematic review and meta-analysis. Eur Radiol 26:3706–3718PubMedCrossRef Di Leo G, Fisci E, Secchi F, Alì M, Ambrogi F, Sconfienza LM, Sardanelli F (2016) Diagnostic accuracy of magnetic resonance angiography for detection of coronary artery disease: a systematic review and meta-analysis. Eur Radiol 26:3706–3718PubMedCrossRef

go back to reference Kelle S, Hays AG, Hirsch GA, Gerstenblith G, Miller JM, Steinberg AM, Schär M, Texter JH, Wellnhofer E, Weiss RG, Stuber M (2011) Coronary artery distensibility assessed by 3.0 Tesla coronary magnetic resonance imaging in subjects with and without coronary artery disease. Am J Cardiol 108:491–497PubMedPubMedCentralCrossRef Kelle S, Hays AG, Hirsch GA, Gerstenblith G, Miller JM, Steinberg AM, Schär M, Texter JH, Wellnhofer E, Weiss RG, Stuber M (2011) Coronary artery distensibility assessed by 3.0 Tesla coronary magnetic resonance imaging in subjects with and without coronary artery disease. Am J Cardiol 108:491–497PubMedPubMedCentralCrossRef

go back to reference Nguyen PK, Meyer C, Engvall J, Yang P, McConnell MV (2008) Noninvasive assessment of coronary vasodilation using cardiovascular magnetic resonance in patients at high risk for coronary artery disease. J Cardiovasc Magn Reson 10:28PubMedPubMedCentralCrossRef Nguyen PK, Meyer C, Engvall J, Yang P, McConnell MV (2008) Noninvasive assessment of coronary vasodilation using cardiovascular magnetic resonance in patients at high risk for coronary artery disease. J Cardiovasc Magn Reson 10:28PubMedPubMedCentralCrossRef

go back to reference Hays AG, Stuber M, Hirsch GA, Yu J, Schär M, Weiss RG, Gerstenblith G, Kelle S (2013) Non-invasive detection of coronary endothelial response to sequential handgrip exercise in coronary artery disease patients and healthy adults. PLoS ONE 8:1–8CrossRef Hays AG, Stuber M, Hirsch GA, Yu J, Schär M, Weiss RG, Gerstenblith G, Kelle S (2013) Non-invasive detection of coronary endothelial response to sequential handgrip exercise in coronary artery disease patients and healthy adults. PLoS ONE 8:1–8CrossRef

go back to reference Botnar RM, Stuber M, Kissinger KV, Kim WY, Spuentrup E, Manning WJ (2000) Noninvasive coronary vessel wall and plaque imaging with magnetic resonance imaging. Circulation 102:2582–2587PubMedCrossRef Botnar RM, Stuber M, Kissinger KV, Kim WY, Spuentrup E, Manning WJ (2000) Noninvasive coronary vessel wall and plaque imaging with magnetic resonance imaging. Circulation 102:2582–2587PubMedCrossRef

go back to reference Yeon SB, Sabir A, Clouse M, Martinezclark PO, Peters DC, Hauser TH, Gibson CM, Nezafat R, Maintz D, Manning WJ, Botnar RM (2007) Delayed-enhancement cardiovascular magnetic resonance coronary artery wall imaging: comparison with multislice computed tomography and quantitative coronary angiography. J Am Coll Cardiol 50:441–447PubMedCrossRef Yeon SB, Sabir A, Clouse M, Martinezclark PO, Peters DC, Hauser TH, Gibson CM, Nezafat R, Maintz D, Manning WJ, Botnar RM (2007) Delayed-enhancement cardiovascular magnetic resonance coronary artery wall imaging: comparison with multislice computed tomography and quantitative coronary angiography. J Am Coll Cardiol 50:441–447PubMedCrossRef

go back to reference Sakuma H, Ichikawa Y, Suzawa N, Hirano T, Makino K, Koyama N, Van Cauteren M, Takeda K (2005) Assessment of coronary arteries with total study time of less than 30 minutes by using whole-heart coronary MR angiography. Radiology 237:316–321PubMedCrossRef Sakuma H, Ichikawa Y, Suzawa N, Hirano T, Makino K, Koyama N, Van Cauteren M, Takeda K (2005) Assessment of coronary arteries with total study time of less than 30 minutes by using whole-heart coronary MR angiography. Radiology 237:316–321PubMedCrossRef

go back to reference Hamdan A, Asbach P, Wellnhofer E, Klein C, Gebker R, Kelle S, Kilian H, Huppertz A, Fleck E (2011) A prospective study for comparison of MR and CT imaging for detection of coronary artery stenosis. JACC Cardiovasc Imaging 4:50–61PubMedCrossRef Hamdan A, Asbach P, Wellnhofer E, Klein C, Gebker R, Kelle S, Kilian H, Huppertz A, Fleck E (2011) A prospective study for comparison of MR and CT imaging for detection of coronary artery stenosis. JACC Cardiovasc Imaging 4:50–61PubMedCrossRef

go back to reference Kim WY, Danias PG, Stuber M, Flamm SD, Plein S, Nagel E, Langerak SE, Weber OM, Pedersen EM, Schmidt M, Botnar RM, Manning WJ (2001) Coronary magnetic resonance angiography for the detection of coronary stenoses. N Engl J Med 345:1863–1869PubMedCrossRef Kim WY, Danias PG, Stuber M, Flamm SD, Plein S, Nagel E, Langerak SE, Weber OM, Pedersen EM, Schmidt M, Botnar RM, Manning WJ (2001) Coronary magnetic resonance angiography for the detection of coronary stenoses. N Engl J Med 345:1863–1869PubMedCrossRef

go back to reference Kato S, Kitagawa K, Ishida N, Ishida M, Nagata M, Ichikawa Y, Katahira K, Matsumoto Y, Seo K, Ochiai R, Kobayashi Y, Sakuma H (2010) Assessment of coronary artery disease using magnetic resonance coronary angiography: a national multicenter trial. J Am Coll Cardiol 56:983–991PubMedCrossRef Kato S, Kitagawa K, Ishida N, Ishida M, Nagata M, Ichikawa Y, Katahira K, Matsumoto Y, Seo K, Ochiai R, Kobayashi Y, Sakuma H (2010) Assessment of coronary artery disease using magnetic resonance coronary angiography: a national multicenter trial. J Am Coll Cardiol 56:983–991PubMedCrossRef

go back to reference Bluemke DA, Achenbach S, Budoff M, Gerber TC, Gersh B, Hillis LD, Hundley WG, Manning WJ, Printz BF, Stuber M, Woodard PK (2008) Noninvasive coronary artery imaging: magnetic resonance angiography and multidetector computed tomography angiography: a scientific statement from the american heart association committee on cardiovascular imaging and intervention of the council on cardio. Circulation 118:586–606PubMedCrossRef Bluemke DA, Achenbach S, Budoff M, Gerber TC, Gersh B, Hillis LD, Hundley WG, Manning WJ, Printz BF, Stuber M, Woodard PK (2008) Noninvasive coronary artery imaging: magnetic resonance angiography and multidetector computed tomography angiography: a scientific statement from the american heart association committee on cardiovascular imaging and intervention of the council on cardio. Circulation 118:586–606PubMedCrossRef

go back to reference Hundley WG, Bluemke DA, Finn JP, Flamm SD, Fogel MA, Friedrich MG, Ho VB, Jerosch-Herold M, Kramer CM, Manning WJ, Patel M, Pohost GM, Stillman AE, White RD, Woodard PK (2010) ACCF/ACR/AHA/NASCI/SCMR 2010 expert consensus document on cardiovascular magnetic resonance. A report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents. J Am Coll Cardiol 55:2614–2662PubMedCrossRef Hundley WG, Bluemke DA, Finn JP, Flamm SD, Fogel MA, Friedrich MG, Ho VB, Jerosch-Herold M, Kramer CM, Manning WJ, Patel M, Pohost GM, Stillman AE, White RD, Woodard PK (2010) ACCF/ACR/AHA/NASCI/SCMR 2010 expert consensus document on cardiovascular magnetic resonance. A report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents. J Am Coll Cardiol 55:2614–2662PubMedCrossRef

go back to reference Nakamura M, Kido T, Kido T, Watanabe K, Schmidt M, Forman C, Mochizuki T (2018) Non-contrast compressed sensing whole-heart coronary magnetic resonance angiography at 3T: a comparison with conventional imaging. Eur J Radiol 104:43–48PubMedCrossRef Nakamura M, Kido T, Kido T, Watanabe K, Schmidt M, Forman C, Mochizuki T (2018) Non-contrast compressed sensing whole-heart coronary magnetic resonance angiography at 3T: a comparison with conventional imaging. Eur J Radiol 104:43–48PubMedCrossRef

go back to reference Akçakaya M, Basha TA, Chan RH, Manning WJ, Nezafat R (2014) Accelerated isotropic sub-millimeter whole-heart coronary MRI: compressed sensing versus parallel imaging. Magn Reson Med 71:815–822PubMedPubMedCentralCrossRef Akçakaya M, Basha TA, Chan RH, Manning WJ, Nezafat R (2014) Accelerated isotropic sub-millimeter whole-heart coronary MRI: compressed sensing versus parallel imaging. Magn Reson Med 71:815–822PubMedPubMedCentralCrossRef

go back to reference Pang J, Sharif B, Fan Z, Bi X, Arsanjani R, Berman DS, Li D (2014) ECG and navigator-free four-dimensional whole-heart coronary MRA for simultaneous visualization of cardiac anatomy and function. Magn Reson Med 72:1208–1217PubMedPubMedCentralCrossRef Pang J, Sharif B, Fan Z, Bi X, Arsanjani R, Berman DS, Li D (2014) ECG and navigator-free four-dimensional whole-heart coronary MRA for simultaneous visualization of cardiac anatomy and function. Magn Reson Med 72:1208–1217PubMedPubMedCentralCrossRef

go back to reference Feng L, Coppo S, Piccini D, Yerly J, Lim RP, Masci PG, Stuber M, Sodickson DK, Otazo R (2018) 5D whole-heart sparse MRI. Magn Reson Med 79:826–838PubMedCrossRef Feng L, Coppo S, Piccini D, Yerly J, Lim RP, Masci PG, Stuber M, Sodickson DK, Otazo R (2018) 5D whole-heart sparse MRI. Magn Reson Med 79:826–838PubMedCrossRef

go back to reference Kato Y, Ambale-venkatesh B, Kassai Y, Pitts J, Kasuboski L, Ortman J, Caruthers S, Lima JAC (2019) Application of deep learning reconstruction for denoising of compressed sensing non-contrast coronary MRA images to achieve improved diagnostic confidence. ISMRM 2019 Abstr Kato Y, Ambale-venkatesh B, Kassai Y, Pitts J, Kasuboski L, Ortman J, Caruthers S, Lima JAC (2019) Application of deep learning reconstruction for denoising of compressed sensing non-contrast coronary MRA images to achieve improved diagnostic confidence. ISMRM 2019 Abstr

go back to reference Takahashi S, Machida H, Kariyasu T, Niitsu R, Miyazaki I, Yoshioka T, Fukushima K, Yuda S, Shimizu Y, Yonaha T, Nakanishi A, Kusahara H, Matsuoka Y, Kitamura M, Yamamoto T, Yokoyama K (2019) Improved vessel delineation in whole-heart coronary MRA with sub-millimeter isotropic resolution using deep learning reconstruction compared with routine whole-heart coronary MRA. ISMRM 2019 Abstr Takahashi S, Machida H, Kariyasu T, Niitsu R, Miyazaki I, Yoshioka T, Fukushima K, Yuda S, Shimizu Y, Yonaha T, Nakanishi A, Kusahara H, Matsuoka Y, Kitamura M, Yamamoto T, Yokoyama K (2019) Improved vessel delineation in whole-heart coronary MRA with sub-millimeter isotropic resolution using deep learning reconstruction compared with routine whole-heart coronary MRA. ISMRM 2019 Abstr

go back to reference Roth GA, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdollahpour I, Abdulkader RS, Abebe HT, Abebe M, Abebe Z, Abejie AN, Abera SF, Abil OZ, Abraha HN, Abrham AR, Abu-Raddad LJ, Accrombessi MMK, Acharya D, Adamu AA, Adebayo OM, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhena BM, Adib MG, Admasie A, Afshin A, Agarwal G, Agesa KM, Agrawal A, Agrawal S, Ahmadi A, Ahmadi M, Ahmed MB, Ahmed S, Aichour AN, Aichour I, Aichour MTE, Akbari ME, Akinyemi RO, Akseer N, Al-Aly Z, Al-Eyadhy A, Al-Raddadi RM, Alahdab F, Alam K, Alam T, Alebel A, Alene KA, Alijanzadeh M, Alizadeh-Navaei R, Aljunid SM, Alkerwi A, Alla F, Allebeck P, Alonso J, Altirkawi K, Alvis-Guzman N, Amare AT, Aminde LN, Amini E, Ammar W, Amoako YA, Anber NH, Andrei CL, Androudi S, Animut MD, Anjomshoa M, Ansari H, Ansha MG, Antonio CAT, Anwari P, Aremu O, Arnlov J, Arora A, Arora M, Artaman A, Aryal KK, Asayesh H, Asfaw ET, Ataro Z, Atique S, Atre SR, Ausloos M, Avokpaho EFGA, Awasthi A, Ayala Quintanilla BP, Ayele Y, Ayer R, Azzopardi PS, Babazadeh A, Bacha U, Badali H, Badawi A, Bali AG, Ballesteros KE, Banach M, Banerjee K, Bannick MS, Banoub JAM, Barboza MA, Barker-Collo SL, Barnighausen TW, Barquera S, Barrero LH, Bassat Q, Basu S, Baune BT, Baynes HW, Bazargan-Hejazi S, Bedi N, Beghi E, Behzadifar M, Behzadifar M, Bejot Y, Bekele BB, Belachew AB, Belay E, Belay YA, Bell ML, Bello AK, Bennett DA, Bensenor IM, Berman AE, Bernabe E, Bernstein RS, Bertolacci GJ, Beuran M, Beyranvand T, Bhalla A, Bhattarai S, Bhaumik S, Bhutta ZA, Biadgo B, Biehl MH, Bijani A, Bikbov B, Bilano V, Bililign N, Bin Sayeed MS, Bisanzio D, Biswas T, Blacker BF, Basara BB, Borschmann R, Bosetti C, Bozorgmehr K, Brady OJ, Brant LC, Brayne C, Brazinova A, Breitborde NJK, Brenner H, Briant PS, Britton G, Brugha T, Busse R, Butt ZA, Callender CSKH, Campos-Nonato IR, Campuzano Rincon JC, Cano J, Car M, Cardenas R, Carreras G, Carrero JJ, Carter A, Carvalho F, Castaneda-Orjuela CA, Castillo Rivas J, Castle CD, Castro C, Castro F, Catala-Lopez F, Cerin E, Chaiah Y, Chang JC, Charlson FJ, Chaturvedi P, Chiang PPC, Chimed-Ochir O, Chisumpa VH, Chitheer A, Chowdhury R, Christensen H, Christopher DJ, Chung SC, Cicuttini FM, Ciobanu LG, Cirillo M, Cohen AJ, Cooper LT, Cortesi PA, Cortinovis M, Cousin E, Cowie BC, Criqui MH, Cromwell EA, Crowe CS, Crump JA, Cunningham M, Daba AK, Dadi AF, Dandona L, Dandona R, Dang AK, Dargan PI, Daryani A, Das SK, Gupta R Das, Neves J Das, Dasa TT, Dash AP, Davis AC, Davis Weaver N, Davitoiu DV, Davletov K, De La Hoz FP, De Neve JW, Degefa MG, Degenhardt L, Degfie TT, Deiparine S, Demoz GT, Demtsu BB, Denova-Gutierrez E, Deribe K, Dervenis N, Des Jarlais DC, Dessie GA, Dey S, Dharmaratne SD, Dicker D, Dinberu MT, Ding EL, Dirac MA, Djalalinia S, Dokova K, Doku DT, Donnelly CA, Dorsey ER, Doshi PP, Douwes-Schultz D, Doyle KE, Driscoll TR, Dubey M, Dubljanin E, Duken EE, Duncan BB, Duraes AR, Ebrahimi H, Ebrahimpour S, Edessa D, Edvardsson D, Eggen AE, El Bcheraoui C, El Sayed Zaki M, El-Khatib Z, Elkout H, Ellingsen CL, Endres M, Endries AY, Er B, Erskine HE, Eshrati B, Eskandarieh S, Esmaeili R, Esteghamati A, Fakhar M, Fakhim H, Faramarzi M, Fareed M, Farhadi F, Farinha CSE, Faro A, Farvid MS, Farzadfar F, Farzaei MH, Feigin VL, Feigl AB, Fentahun N, Fereshtehnejad SM, Fernandes E, Fernandes JC, Ferrari AJ, Feyissa GT, Filip I, Finegold S, Fischer F, Fitzmaurice C, Foigt NA, Foreman KJ, Fornari C, Frank TD, Fukumoto T, Fuller JE, Fullman N, Furst T, Furtado JM, Futran ND, Gallus S, Garcia-Basteiro AL, Garcia-Gordillo MA, Gardner WM, Gebre AK, Gebrehiwot TT, Gebremedhin AT, Gebremichael B, Gebremichael TG, Gelano TF, Geleijnse JM, Genova-Maleras R, Geramo YCD, Gething PW, Gezae KE, Ghadami MR, Ghadimi R, Ghasemi Falavarjani K, Ghasemi-Kasman M, Ghimire M, Gibney KB, Gill PS, Gill TK, Gillum RF, Ginawi IA, Giroud M, Giussani G, Goenka S, Goldberg EM, Goli S, Gomez-Dantes H, Gona PN, Gopalani SV, Gorman TM, Goto A, Goulart AC, Gnedovskaya E V., Grada A, Grosso G, Gugnani HC, Guimaraes ALS, Guo Y, Gupta PC, Gupta R, Gupta R, Gupta T, Gutierrez RA, Gyawali B, Haagsma JA, Hafezi-Nejad N, Hagos TB, Hailegiyorgis TT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hamadeh RR, Hamidi S, Handal AJ, Hankey GJ, Harb HL, Harikrishnan S, Haro JM, Hasan M, Hassankhani H, Hassen HY, Havmoeller R, Hay RJ, Hay SI, He Y, Hedayatizadeh-Omran A, Hegazy MI, Heibati B, Heidari M, Hendrie D, Henok A, Henry NJ, Herteliu C, Heydarpour F, Heydarpour P, Heydarpour S, Hibstu DT, Hoek HW, Hole MK, Homaie Rad E, Hoogar P, Hosgood HD, Hosseini SM, Hosseinzadeh M, Hostiuc M, Hostiuc S, Hotez PJ, Hoy DG, Hsiao T, Hu G, Huang JJ, Husseini A, Hussen MM, Hutfless S, Idrisov B, Ilesanmi OS, Iqbal U, Irvani SSN, Irvine CMS, Islam N, Islam SMS, Islami F, Jacobsen KH, Jahangiry L, Jahanmehr N, Jain SK, Jakovljevic M, Jalu MT, James SL, Javanbakht M, Jayatilleke AU, Jeemon P, Jenkins KJ, Jha RP, Jha V, Johnson CO, Johnson SC, Jonas JB, Joshi A, Jozwiak JJ, Jungari SB, Jurisson M, Kabir Z, Kadel R, Kahsay A, Kalani R, Karami M, Karami Matin B, Karch A, Karema C, Karimi-Sari H, Kasaeian A, Kassa DH, Kassa GM, Kassa TD, Kassebaum NJ, Katikireddi SV, Kaul A, Kazemi Z, Kazemi Karyani A, Kazi DS, Kefale AT, Keiyoro PN, Kemp GR, Kengne AP, Keren A, Kesavachandran CN, Khader YS, Khafaei B, Khafaie MA, Khajavi A, Khalid N, Khalil IA, Khan EA, Khan MS, Khan MA, Khang YH, Khater MM, Khoja AT, Khosravi A, Khosravi MH, Khubchandani J, Kiadaliri AA, Kibret GD, Kidanemariam ZT, Kiirithio DN, Kim D, Kim YE, Kim YJ, Kimokoti RW, Kinfu Y, Kisa A, Kissimova-Skarbek K, Kivimaki M, Knudsen AKS, Kocarnik JM, Kochhar S, Kokubo Y, Kolola T, Kopec JA, Koul PA, Koyanagi A, Kravchenko MA, Krishan K, Kuate Defo B, Kucuk Bicer B, Kumar GA, Kumar M, Kumar P, Kutz MJ, Kuzin I, Kyu HH, Lad DP, Lad SD, Lafranconi A, Lal DK, Lalloo R, Lallukka T, Lam JO, Lami FH, Lansingh VC, Lansky S, Larson HJ, Latifi A, Lau KMM, Lazarus J V., Lebedev G, Lee PH, Leigh J, Leili M, Leshargie CT, Li S, Li Y, Liang J, Lim LL, Lim SS, Limenih MA, Linn S, Liu S, Liu Y, Lodha R, Lonsdale C, Lopez AD, Lorkowski S, Lotufo PA, Lozano R, Lunevicius R, Ma S, Macarayan ERK, Mackay MT, MacLachlan JH, Maddison ER, Madotto F, Magdy Abd El Razek H, Magdy Abd El Razek M, Maghavani DP, Majdan M, Majdzadeh R, Majeed A, Malekzadeh R, Malta DC, Manda AL, Mandarano-Filho LG, Manguerra H, Mansournia MA, Mapoma CC, Marami D, Maravilla JC, Marcenes W, Marczak L, Marks A, Marks GB, Martinez G, Martins-Melo FR, Martopullo I, Marz W, Marzan MB, Masci JR, Massenburg BB, Mathur MR, Mathur P, Matzopoulos R, Maulik PK, Mazidi M, McAlinden C, McGrath JJ, McKee M, McMahon BJ, Mehata S, Mehndiratta MM, Mehrotra R, Mehta KM, Mehta V, Mekonnen TC, Melese A, Melku M, Memiah PTN, Memish ZA, Mendoza W, Mengistu DT, Mengistu G, Mensah GA, Mereta ST, Meretoja A, Meretoja TJ, Mestrovic T, Mezgebe HB, Miazgowski B, Miazgowski T, Millear AI, Miller TR, Miller-Petrie MK, Mini GK, Mirabi P, Mirarefin M, Mirica A, Mirrakhimov EM, Misganaw AT, Mitiku H, Moazen B, Mohammad KA, Mohammadi M, Mohammadifard N, Mohammed MA, Mohammed S, Mohan V, Mokdad AH, Molokhia M, Monasta L, Moradi G, Moradi-Lakeh M, Moradinazar M, Moraga P, Morawska L, Velasquez IM, Morgado-Da-Costa J, Morrison SD, Moschos MM, Mouodi S, Mousavi SM, Muchie KF, Mueller UO, Mukhopadhyay S, Muller K, Mumford JE, Musa J, Musa KI, Mustafa G, Muthupandian S, Nachega JB, Nagel G, Naheed A, Nahvijou A, Naik G, Nair S, Najafi F, Naldi L, Nam HS, Nangia V, Nansseu JR, Nascimento BR, Natarajan G, Neamati N, Negoi I, Negoi RI, Neupane S, Newton CRJ, Ngalesoni FN, Ngunjiri JW, Nguyen AQ, Nguyen G, Nguyen HT, Nguyen HT, Nguyen LH, Nguyen M, Nguyen TH, Nichols E, Ningrum DNA, Nirayo YL, Nixon MR, Nolutshungu N, Nomura S, Norheim OF, Noroozi M, Norrving B, Noubiap JJ, Nouri HR, Shiadeh MN, Nowroozi MR, Nyasulu PS, Odell CM, Ofori-Asenso R, Ogbo FA, Oh IH, Oladimeji O, Olagunju AT, Olivares PR, Olsen HE, Olusanya BO, Olusanya JO, Ong KL, Ong SKS, Oren E, Orpana HM, Ortiz A, Ortiz JR, Otstavnov SS, Overland S, Owolabi MO, Ozdemir R, Mahesh PA, Pacella R, Pakhale S, Pakhare AP, Pakpour AH, Pana A, Panda-Jonas S, Pandian JD, Parisi A, Park EK, Parry CDH, Parsian H, Patel S, Pati S, Patton GC, Paturi VR, Paulson KR, Pereira A, Pereira DM, Perico N, Pesudovs K, Petzold M, Phillips MR, Piel FB, Pigott DM, Pillay JD, Pirsaheb M, Pishgar F, Polinder S, Postma MJ, Pourshams A, Poustchi H, Pujar A, Prakash S, Prasad N, Purcell CA, Qorbani M, Quintana H, Quistberg DA, Rade KW, Anwar Rafay AR, Rahim F, Rahimi K, Rahimi-Movaghar A, Rahman M, Rahman MHU, Rahman MA, Rai RK, Rajsic S, Ram U, Ranabhat CL, Ranjan P, Rao PC, Rawaf DL, Rawaf S, Razo-Garcia C, Reddy KS, Reiner RC, Reitsma MB, Remuzzi G, Renzaho AMN, Resnikoff S, Rezaei S, Rezaeian S, Rezai MS, Riahi SM, Ribeiro ALP, Rios-Blancas MJ, Roba KT, Roberts NLS, Robinson SR, Roever L, Ronfani L, Roshandel G, Rostami A, Rothenbacher D, Roy A, Rubagotti E, Sachdev PS, Saddik B, Sadeghi E, Safari H, Safdarian M, Safi S, Safiri S, Sagar R, Sahebkar A, Sahraian MA, Salam N, Salama JS, Salamati P, De Freitas Saldanha R, Saleem Z, Salimi Y, Salvi SS, Salz I, Sambala EZ, Samy AM, Sanabria J, Dolores Sanchez-Nino M, Santomauro DF, Santos IS, Santos JV, Santric Milicevic MM, Jose BPS, Sarker AR, Sarmiento-Suarez R, Sarrafzadegan N, Sartorius B, Sarvi S, Sathian B, Satpathy M, Sawant AR, Sawhney M, Saxena S, Sayyah M, Schaeffner E, Schmidt MI, Schneider IJC, Schottker B, Schutte AE, Schwebel DC, Schwendicke F, Scott JG, Sekerija M, Sepanlou SG, Servan-Mori E, Seyedmousavi S, Shabaninejad H, Shackelford KA, Shafieesabet A, Shahbazi M, Shaheen AA, Shaikh MA, Shams-Beyranvand M, Shamsi M, Shamsizadeh M, Sharafi K, Sharif M, Sharif-Alhoseini M, Sharma R, She J, Sheikh A, Shi P, Shiferaw MS, Shigematsu M, Shiri R, Shirkoohi R, Shiue I, Shokraneh F, Shrime MG, Si S, Siabani S, Siddiqi TJ, Sigfusdottir ID, Sigurvinsdottir R, Silberberg DH, Santos Silva DA, Silva JP, Da Silva NT, Silveira DGA, Singh JA, Singh NP, Singh PK, Singh V, Sinha DN, Sliwa K, Smith M, Sobaih BH, Sobhani S, Sobngwi E, Soneji SS, Soofi M, Sorensen RJD, Soriano JB, Soyiri IN, Sposato LA, Sreeramareddy CT, Srinivasan V, Stanaway JD, Starodubov VI, Stathopoulou V, Stein DJ, Steiner C, Stewart LG, Stokes MA, Subart ML, Sudaryanto A, Sufiyan MB, Sur PJ, Sutradhar I, Sykes BL, Sylaja PN, Sylte DO, Szoeke CEI, Tabares-Seisdedos R, Tabuchi T, Tadakamadla SK, Takahashi K, Tandon N, Tassew SG, Taveira N, Tehrani-Banihashemi A, Tekalign TG, Tekle MG, Temsah MH, Temsah O, Terkawi AS, Teshale MY, Tessema B, Tessema GA, Thankappan KR, Thirunavukkarasu S, Thomas N, Thrift AG, Thurston GD, Tilahun B, To QG, Tobe-Gai R, Tonelli M, Topor-Madry R, Torre AE, Tortajada-Girbes M, Touvier M, Tovani-Palone MR, Tran BX, Tran KB, Tripathi S, Troeger CE, Truelsen TC, Truong NT, Tsadik AG, Tsoi D, Tudor Car L, Murat Tuzcu E, Tyrovolas S, Ukwaja KN, Ullah I, Undurraga EA, Updike RL, Usman MS, Uthman OA, Uzun SB, Vaduganathan M, Vaezi A, Vaidya G, Valdez PR, Varavikova E, Vasankari TJ, Venketasubramanian N, Villafaina S, Violante FS, Vladimirov SK, Vlassov V, Vollset SE, Vos T, Wagner GR, Wagnew FS, Waheed Y, Wallin MT, Walson JL, Wang Y, Wang YP, Wassie MM, Weiderpass E, Weintraub RG, Weldegebreal F, Weldegwergs KG, Werdecker A, Werkneh AA, West TE, Westerman R, Whiteford HA, Widecka J, Wilner LB, Wilson S, Winkler AS, Wiysonge CS, Wolfe CDA, Wu S, Wu YC, Wyper GMA, Xavier D, Xu G, Yadgir S, Yadollahpour A, Yahyazadeh Jabbari SH, Yakob B, Yan LL, Yano Y, Yaseri M, Yasin YJ, Yentur GK, Yeshaneh A, Yimer EM, Yip P, Yirsaw BD, Yisma E, Yonemoto N, Yonga G, Yoon SJ, Yotebieng M, Younis MZ, Yousefifard M, Yu C, Zadnik V, Zaidi Z, Zaman S Bin, Zamani M, Zare Z, Zeleke AJ, Zenebe ZM, Zhang AL, Zhang K, Zhou M, Zodpey S, Zuhlke LJ, Naghavi M, Murray CJL (2018) Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392:1736–1788 Roth GA, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdollahpour I, Abdulkader RS, Abebe HT, Abebe M, Abebe Z, Abejie AN, Abera SF, Abil OZ, Abraha HN, Abrham AR, Abu-Raddad LJ, Accrombessi MMK, Acharya D, Adamu AA, Adebayo OM, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhena BM, Adib MG, Admasie A, Afshin A, Agarwal G, Agesa KM, Agrawal A, Agrawal S, Ahmadi A, Ahmadi M, Ahmed MB, Ahmed S, Aichour AN, Aichour I, Aichour MTE, Akbari ME, Akinyemi RO, Akseer N, Al-Aly Z, Al-Eyadhy A, Al-Raddadi RM, Alahdab F, Alam K, Alam T, Alebel A, Alene KA, Alijanzadeh M, Alizadeh-Navaei R, Aljunid SM, Alkerwi A, Alla F, Allebeck P, Alonso J, Altirkawi K, Alvis-Guzman N, Amare AT, Aminde LN, Amini E, Ammar W, Amoako YA, Anber NH, Andrei CL, Androudi S, Animut MD, Anjomshoa M, Ansari H, Ansha MG, Antonio CAT, Anwari P, Aremu O, Arnlov J, Arora A, Arora M, Artaman A, Aryal KK, Asayesh H, Asfaw ET, Ataro Z, Atique S, Atre SR, Ausloos M, Avokpaho EFGA, Awasthi A, Ayala Quintanilla BP, Ayele Y, Ayer R, Azzopardi PS, Babazadeh A, Bacha U, Badali H, Badawi A, Bali AG, Ballesteros KE, Banach M, Banerjee K, Bannick MS, Banoub JAM, Barboza MA, Barker-Collo SL, Barnighausen TW, Barquera S, Barrero LH, Bassat Q, Basu S, Baune BT, Baynes HW, Bazargan-Hejazi S, Bedi N, Beghi E, Behzadifar M, Behzadifar M, Bejot Y, Bekele BB, Belachew AB, Belay E, Belay YA, Bell ML, Bello AK, Bennett DA, Bensenor IM, Berman AE, Bernabe E, Bernstein RS, Bertolacci GJ, Beuran M, Beyranvand T, Bhalla A, Bhattarai S, Bhaumik S, Bhutta ZA, Biadgo B, Biehl MH, Bijani A, Bikbov B, Bilano V, Bililign N, Bin Sayeed MS, Bisanzio D, Biswas T, Blacker BF, Basara BB, Borschmann R, Bosetti C, Bozorgmehr K, Brady OJ, Brant LC, Brayne C, Brazinova A, Breitborde NJK, Brenner H, Briant PS, Britton G, Brugha T, Busse R, Butt ZA, Callender CSKH, Campos-Nonato IR, Campuzano Rincon JC, Cano J, Car M, Cardenas R, Carreras G, Carrero JJ, Carter A, Carvalho F, Castaneda-Orjuela CA, Castillo Rivas J, Castle CD, Castro C, Castro F, Catala-Lopez F, Cerin E, Chaiah Y, Chang JC, Charlson FJ, Chaturvedi P, Chiang PPC, Chimed-Ochir O, Chisumpa VH, Chitheer A, Chowdhury R, Christensen H, Christopher DJ, Chung SC, Cicuttini FM, Ciobanu LG, Cirillo M, Cohen AJ, Cooper LT, Cortesi PA, Cortinovis M, Cousin E, Cowie BC, Criqui MH, Cromwell EA, Crowe CS, Crump JA, Cunningham M, Daba AK, Dadi AF, Dandona L, Dandona R, Dang AK, Dargan PI, Daryani A, Das SK, Gupta R Das, Neves J Das, Dasa TT, Dash AP, Davis AC, Davis Weaver N, Davitoiu DV, Davletov K, De La Hoz FP, De Neve JW, Degefa MG, Degenhardt L, Degfie TT, Deiparine S, Demoz GT, Demtsu BB, Denova-Gutierrez E, Deribe K, Dervenis N, Des Jarlais DC, Dessie GA, Dey S, Dharmaratne SD, Dicker D, Dinberu MT, Ding EL, Dirac MA, Djalalinia S, Dokova K, Doku DT, Donnelly CA, Dorsey ER, Doshi PP, Douwes-Schultz D, Doyle KE, Driscoll TR, Dubey M, Dubljanin E, Duken EE, Duncan BB, Duraes AR, Ebrahimi H, Ebrahimpour S, Edessa D, Edvardsson D, Eggen AE, El Bcheraoui C, El Sayed Zaki M, El-Khatib Z, Elkout H, Ellingsen CL, Endres M, Endries AY, Er B, Erskine HE, Eshrati B, Eskandarieh S, Esmaeili R, Esteghamati A, Fakhar M, Fakhim H, Faramarzi M, Fareed M, Farhadi F, Farinha CSE, Faro A, Farvid MS, Farzadfar F, Farzaei MH, Feigin VL, Feigl AB, Fentahun N, Fereshtehnejad SM, Fernandes E, Fernandes JC, Ferrari AJ, Feyissa GT, Filip I, Finegold S, Fischer F, Fitzmaurice C, Foigt NA, Foreman KJ, Fornari C, Frank TD, Fukumoto T, Fuller JE, Fullman N, Furst T, Furtado JM, Futran ND, Gallus S, Garcia-Basteiro AL, Garcia-Gordillo MA, Gardner WM, Gebre AK, Gebrehiwot TT, Gebremedhin AT, Gebremichael B, Gebremichael TG, Gelano TF, Geleijnse JM, Genova-Maleras R, Geramo YCD, Gething PW, Gezae KE, Ghadami MR, Ghadimi R, Ghasemi Falavarjani K, Ghasemi-Kasman M, Ghimire M, Gibney KB, Gill PS, Gill TK, Gillum RF, Ginawi IA, Giroud M, Giussani G, Goenka S, Goldberg EM, Goli S, Gomez-Dantes H, Gona PN, Gopalani SV, Gorman TM, Goto A, Goulart AC, Gnedovskaya E V., Grada A, Grosso G, Gugnani HC, Guimaraes ALS, Guo Y, Gupta PC, Gupta R, Gupta R, Gupta T, Gutierrez RA, Gyawali B, Haagsma JA, Hafezi-Nejad N, Hagos TB, Hailegiyorgis TT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hamadeh RR, Hamidi S, Handal AJ, Hankey GJ, Harb HL, Harikrishnan S, Haro JM, Hasan M, Hassankhani H, Hassen HY, Havmoeller R, Hay RJ, Hay SI, He Y, Hedayatizadeh-Omran A, Hegazy MI, Heibati B, Heidari M, Hendrie D, Henok A, Henry NJ, Herteliu C, Heydarpour F, Heydarpour P, Heydarpour S, Hibstu DT, Hoek HW, Hole MK, Homaie Rad E, Hoogar P, Hosgood HD, Hosseini SM, Hosseinzadeh M, Hostiuc M, Hostiuc S, Hotez PJ, Hoy DG, Hsiao T, Hu G, Huang JJ, Husseini A, Hussen MM, Hutfless S, Idrisov B, Ilesanmi OS, Iqbal U, Irvani SSN, Irvine CMS, Islam N, Islam SMS, Islami F, Jacobsen KH, Jahangiry L, Jahanmehr N, Jain SK, Jakovljevic M, Jalu MT, James SL, Javanbakht M, Jayatilleke AU, Jeemon P, Jenkins KJ, Jha RP, Jha V, Johnson CO, Johnson SC, Jonas JB, Joshi A, Jozwiak JJ, Jungari SB, Jurisson M, Kabir Z, Kadel R, Kahsay A, Kalani R, Karami M, Karami Matin B, Karch A, Karema C, Karimi-Sari H, Kasaeian A, Kassa DH, Kassa GM, Kassa TD, Kassebaum NJ, Katikireddi SV, Kaul A, Kazemi Z, Kazemi Karyani A, Kazi DS, Kefale AT, Keiyoro PN, Kemp GR, Kengne AP, Keren A, Kesavachandran CN, Khader YS, Khafaei B, Khafaie MA, Khajavi A, Khalid N, Khalil IA, Khan EA, Khan MS, Khan MA, Khang YH, Khater MM, Khoja AT, Khosravi A, Khosravi MH, Khubchandani J, Kiadaliri AA, Kibret GD, Kidanemariam ZT, Kiirithio DN, Kim D, Kim YE, Kim YJ, Kimokoti RW, Kinfu Y, Kisa A, Kissimova-Skarbek K, Kivimaki M, Knudsen AKS, Kocarnik JM, Kochhar S, Kokubo Y, Kolola T, Kopec JA, Koul PA, Koyanagi A, Kravchenko MA, Krishan K, Kuate Defo B, Kucuk Bicer B, Kumar GA, Kumar M, Kumar P, Kutz MJ, Kuzin I, Kyu HH, Lad DP, Lad SD, Lafranconi A, Lal DK, Lalloo R, Lallukka T, Lam JO, Lami FH, Lansingh VC, Lansky S, Larson HJ, Latifi A, Lau KMM, Lazarus J V., Lebedev G, Lee PH, Leigh J, Leili M, Leshargie CT, Li S, Li Y, Liang J, Lim LL, Lim SS, Limenih MA, Linn S, Liu S, Liu Y, Lodha R, Lonsdale C, Lopez AD, Lorkowski S, Lotufo PA, Lozano R, Lunevicius R, Ma S, Macarayan ERK, Mackay MT, MacLachlan JH, Maddison ER, Madotto F, Magdy Abd El Razek H, Magdy Abd El Razek M, Maghavani DP, Majdan M, Majdzadeh R, Majeed A, Malekzadeh R, Malta DC, Manda AL, Mandarano-Filho LG, Manguerra H, Mansournia MA, Mapoma CC, Marami D, Maravilla JC, Marcenes W, Marczak L, Marks A, Marks GB, Martinez G, Martins-Melo FR, Martopullo I, Marz W, Marzan MB, Masci JR, Massenburg BB, Mathur MR, Mathur P, Matzopoulos R, Maulik PK, Mazidi M, McAlinden C, McGrath JJ, McKee M, McMahon BJ, Mehata S, Mehndiratta MM, Mehrotra R, Mehta KM, Mehta V, Mekonnen TC, Melese A, Melku M, Memiah PTN, Memish ZA, Mendoza W, Mengistu DT, Mengistu G, Mensah GA, Mereta ST, Meretoja A, Meretoja TJ, Mestrovic T, Mezgebe HB, Miazgowski B, Miazgowski T, Millear AI, Miller TR, Miller-Petrie MK, Mini GK, Mirabi P, Mirarefin M, Mirica A, Mirrakhimov EM, Misganaw AT, Mitiku H, Moazen B, Mohammad KA, Mohammadi M, Mohammadifard N, Mohammed MA, Mohammed S, Mohan V, Mokdad AH, Molokhia M, Monasta L, Moradi G, Moradi-Lakeh M, Moradinazar M, Moraga P, Morawska L, Velasquez IM, Morgado-Da-Costa J, Morrison SD, Moschos MM, Mouodi S, Mousavi SM, Muchie KF, Mueller UO, Mukhopadhyay S, Muller K, Mumford JE, Musa J, Musa KI, Mustafa G, Muthupandian S, Nachega JB, Nagel G, Naheed A, Nahvijou A, Naik G, Nair S, Najafi F, Naldi L, Nam HS, Nangia V, Nansseu JR, Nascimento BR, Natarajan G, Neamati N, Negoi I, Negoi RI, Neupane S, Newton CRJ, Ngalesoni FN, Ngunjiri JW, Nguyen AQ, Nguyen G, Nguyen HT, Nguyen HT, Nguyen LH, Nguyen M, Nguyen TH, Nichols E, Ningrum DNA, Nirayo YL, Nixon MR, Nolutshungu N, Nomura S, Norheim OF, Noroozi M, Norrving B, Noubiap JJ, Nouri HR, Shiadeh MN, Nowroozi MR, Nyasulu PS, Odell CM, Ofori-Asenso R, Ogbo FA, Oh IH, Oladimeji O, Olagunju AT, Olivares PR, Olsen HE, Olusanya BO, Olusanya JO, Ong KL, Ong SKS, Oren E, Orpana HM, Ortiz A, Ortiz JR, Otstavnov SS, Overland S, Owolabi MO, Ozdemir R, Mahesh PA, Pacella R, Pakhale S, Pakhare AP, Pakpour AH, Pana A, Panda-Jonas S, Pandian JD, Parisi A, Park EK, Parry CDH, Parsian H, Patel S, Pati S, Patton GC, Paturi VR, Paulson KR, Pereira A, Pereira DM, Perico N, Pesudovs K, Petzold M, Phillips MR, Piel FB, Pigott DM, Pillay JD, Pirsaheb M, Pishgar F, Polinder S, Postma MJ, Pourshams A, Poustchi H, Pujar A, Prakash S, Prasad N, Purcell CA, Qorbani M, Quintana H, Quistberg DA, Rade KW, Anwar Rafay AR, Rahim F, Rahimi K, Rahimi-Movaghar A, Rahman M, Rahman MHU, Rahman MA, Rai RK, Rajsic S, Ram U, Ranabhat CL, Ranjan P, Rao PC, Rawaf DL, Rawaf S, Razo-Garcia C, Reddy KS, Reiner RC, Reitsma MB, Remuzzi G, Renzaho AMN, Resnikoff S, Rezaei S, Rezaeian S, Rezai MS, Riahi SM, Ribeiro ALP, Rios-Blancas MJ, Roba KT, Roberts NLS, Robinson SR, Roever L, Ronfani L, Roshandel G, Rostami A, Rothenbacher D, Roy A, Rubagotti E, Sachdev PS, Saddik B, Sadeghi E, Safari H, Safdarian M, Safi S, Safiri S, Sagar R, Sahebkar A, Sahraian MA, Salam N, Salama JS, Salamati P, De Freitas Saldanha R, Saleem Z, Salimi Y, Salvi SS, Salz I, Sambala EZ, Samy AM, Sanabria J, Dolores Sanchez-Nino M, Santomauro DF, Santos IS, Santos JV, Santric Milicevic MM, Jose BPS, Sarker AR, Sarmiento-Suarez R, Sarrafzadegan N, Sartorius B, Sarvi S, Sathian B, Satpathy M, Sawant AR, Sawhney M, Saxena S, Sayyah M, Schaeffner E, Schmidt MI, Schneider IJC, Schottker B, Schutte AE, Schwebel DC, Schwendicke F, Scott JG, Sekerija M, Sepanlou SG, Servan-Mori E, Seyedmousavi S, Shabaninejad H, Shackelford KA, Shafieesabet A, Shahbazi M, Shaheen AA, Shaikh MA, Shams-Beyranvand M, Shamsi M, Shamsizadeh M, Sharafi K, Sharif M, Sharif-Alhoseini M, Sharma R, She J, Sheikh A, Shi P, Shiferaw MS, Shigematsu M, Shiri R, Shirkoohi R, Shiue I, Shokraneh F, Shrime MG, Si S, Siabani S, Siddiqi TJ, Sigfusdottir ID, Sigurvinsdottir R, Silberberg DH, Santos Silva DA, Silva JP, Da Silva NT, Silveira DGA, Singh JA, Singh NP, Singh PK, Singh V, Sinha DN, Sliwa K, Smith M, Sobaih BH, Sobhani S, Sobngwi E, Soneji SS, Soofi M, Sorensen RJD, Soriano JB, Soyiri IN, Sposato LA, Sreeramareddy CT, Srinivasan V, Stanaway JD, Starodubov VI, Stathopoulou V, Stein DJ, Steiner C, Stewart LG, Stokes MA, Subart ML, Sudaryanto A, Sufiyan MB, Sur PJ, Sutradhar I, Sykes BL, Sylaja PN, Sylte DO, Szoeke CEI, Tabares-Seisdedos R, Tabuchi T, Tadakamadla SK, Takahashi K, Tandon N, Tassew SG, Taveira N, Tehrani-Banihashemi A, Tekalign TG, Tekle MG, Temsah MH, Temsah O, Terkawi AS, Teshale MY, Tessema B, Tessema GA, Thankappan KR, Thirunavukkarasu S, Thomas N, Thrift AG, Thurston GD, Tilahun B, To QG, Tobe-Gai R, Tonelli M, Topor-Madry R, Torre AE, Tortajada-Girbes M, Touvier M, Tovani-Palone MR, Tran BX, Tran KB, Tripathi S, Troeger CE, Truelsen TC, Truong NT, Tsadik AG, Tsoi D, Tudor Car L, Murat Tuzcu E, Tyrovolas S, Ukwaja KN, Ullah I, Undurraga EA, Updike RL, Usman MS, Uthman OA, Uzun SB, Vaduganathan M, Vaezi A, Vaidya G, Valdez PR, Varavikova E, Vasankari TJ, Venketasubramanian N, Villafaina S, Violante FS, Vladimirov SK, Vlassov V, Vollset SE, Vos T, Wagner GR, Wagnew FS, Waheed Y, Wallin MT, Walson JL, Wang Y, Wang YP, Wassie MM, Weiderpass E, Weintraub RG, Weldegebreal F, Weldegwergs KG, Werdecker A, Werkneh AA, West TE, Westerman R, Whiteford HA, Widecka J, Wilner LB, Wilson S, Winkler AS, Wiysonge CS, Wolfe CDA, Wu S, Wu YC, Wyper GMA, Xavier D, Xu G, Yadgir S, Yadollahpour A, Yahyazadeh Jabbari SH, Yakob B, Yan LL, Yano Y, Yaseri M, Yasin YJ, Yentur GK, Yeshaneh A, Yimer EM, Yip P, Yirsaw BD, Yisma E, Yonemoto N, Yonga G, Yoon SJ, Yotebieng M, Younis MZ, Yousefifard M, Yu C, Zadnik V, Zaidi Z, Zaman S Bin, Zamani M, Zare Z, Zeleke AJ, Zenebe ZM, Zhang AL, Zhang K, Zhou M, Zodpey S, Zuhlke LJ, Naghavi M, Murray CJL (2018) Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392:1736–1788

go back to reference Patel MR, Dai D, Hernandez AF, Douglas PS, Messenger J, Garratt KN, Maddox TM, Peterson ED, Roe MT (2014) Prevalence and predictors of nonobstructive coronary artery disease identified with coronary angiography in contemporary clinical practice. Am Heart J 167:846–852.e2PubMedCrossRef Patel MR, Dai D, Hernandez AF, Douglas PS, Messenger J, Garratt KN, Maddox TM, Peterson ED, Roe MT (2014) Prevalence and predictors of nonobstructive coronary artery disease identified with coronary angiography in contemporary clinical practice. Am Heart J 167:846–852.e2PubMedCrossRef

go back to reference Bradley SM, Maddox TM, Stanislawski MA, O’Donnell CI, Grunwald GK, Tsai TT, Ho PM, Peterson ED, Rumsfeld JS (2014) Normal coronary rates for elective angiography in the veterans affairs healthcare system: Insights from the VA CART program (Veterans Affairs Clinical Assessment Reporting and Tracking). J Am Coll Cardiol 63:417–426PubMedCrossRef Bradley SM, Maddox TM, Stanislawski MA, O’Donnell CI, Grunwald GK, Tsai TT, Ho PM, Peterson ED, Rumsfeld JS (2014) Normal coronary rates for elective angiography in the veterans affairs healthcare system: Insights from the VA CART program (Veterans Affairs Clinical Assessment Reporting and Tracking). J Am Coll Cardiol 63:417–426PubMedCrossRef

go back to reference Douglas PS, Patel MR, Bailey SR, Dai D, Kaltenbach L, Brindis RG, Messenger J, Peterson ED (2011) Hospital variability in the rate of finding obstructive coronary artery disease at elective, diagnostic coronary angiography. J Am Coll Cardiol 58:801–809PubMedCrossRef Douglas PS, Patel MR, Bailey SR, Dai D, Kaltenbach L, Brindis RG, Messenger J, Peterson ED (2011) Hospital variability in the rate of finding obstructive coronary artery disease at elective, diagnostic coronary angiography. J Am Coll Cardiol 58:801–809PubMedCrossRef

go back to reference Tavakol M, Ashraf S, Brener SJ (2011) Risks and complications of coronary angiography: a comprehensive review. Glob J Health Sci 4:65–93CrossRef Tavakol M, Ashraf S, Brener SJ (2011) Risks and complications of coronary angiography: a comprehensive review. Glob J Health Sci 4:65–93CrossRef

go back to reference Zwadlo C, Meyer GP, Schieffer B, Westhoff-Bleck M (2012) Anomalous intramural course of coronary arteries in congenital heart disease-three case reports and review of the literature. Congenit Heart Dis 7:139–144PubMedCrossRef Zwadlo C, Meyer GP, Schieffer B, Westhoff-Bleck M (2012) Anomalous intramural course of coronary arteries in congenital heart disease-three case reports and review of the literature. Congenit Heart Dis 7:139–144PubMedCrossRef

go back to reference Albrecht MH, Varga-Szemes A, Schoepf UJ, Nance JW, De Cecco CN, De Santis D, Tesche C, Eid MH, Penmetsa M, Lesslie VW, Piccini D, Goeller M, Wichmann JL, Vogl TJ, Chowdhury SM, Nutting A, Hlavacek AM (2019) Diagnostic accuracy of noncontrast self-navigated free-breathing MR angiography versus CT angiography: a prospective study in pediatric patients with suspected anomalous coronary arteries. Acad Radiol 26:1309–1317PubMedCrossRef Albrecht MH, Varga-Szemes A, Schoepf UJ, Nance JW, De Cecco CN, De Santis D, Tesche C, Eid MH, Penmetsa M, Lesslie VW, Piccini D, Goeller M, Wichmann JL, Vogl TJ, Chowdhury SM, Nutting A, Hlavacek AM (2019) Diagnostic accuracy of noncontrast self-navigated free-breathing MR angiography versus CT angiography: a prospective study in pediatric patients with suspected anomalous coronary arteries. Acad Radiol 26:1309–1317PubMedCrossRef

go back to reference Walsh R, Nielsen JC, Ko HH, Sanz J, Srivastava S, Parness IA, Lytrivi ID (2011) Imaging of congenital coronary artery anomalies. Pediatr Radiol 41:1526–1535PubMedCrossRef Walsh R, Nielsen JC, Ko HH, Sanz J, Srivastava S, Parness IA, Lytrivi ID (2011) Imaging of congenital coronary artery anomalies. Pediatr Radiol 41:1526–1535PubMedCrossRef

go back to reference Goo HW (2015) Coronary artery imaging in children. Korean J Radiol 16:239–250PubMedPubMedCentralCrossRef Goo HW (2015) Coronary artery imaging in children. Korean J Radiol 16:239–250PubMedPubMedCentralCrossRef

go back to reference Mavrogeni S, Papadopoulos G, Douskou M, Kaklis S, Seimenis I, Baras P, Nikolaidou P, Bakoula C, Karanasios E, Manginas A, Cokkinos DV (2004) Magnetic resonance angiography is equivalent to X-Ray coronary angiography for the evaluation of coronary arteries in kawasaki disease. J Am Coll Cardiol 43:649–652PubMedCrossRef Mavrogeni S, Papadopoulos G, Douskou M, Kaklis S, Seimenis I, Baras P, Nikolaidou P, Bakoula C, Karanasios E, Manginas A, Cokkinos DV (2004) Magnetic resonance angiography is equivalent to X-Ray coronary angiography for the evaluation of coronary arteries in kawasaki disease. J Am Coll Cardiol 43:649–652PubMedCrossRef

go back to reference Greil GF, Stuber M, Botnar RM, Kissinger KV, Geva T, Newburger JW, Manning WJ, Powell AJ (2002) Coronary magnetic resonance angiography in adolescents and young adults with Kawasaki disease. Circulation 105:908–911PubMedCrossRef Greil GF, Stuber M, Botnar RM, Kissinger KV, Geva T, Newburger JW, Manning WJ, Powell AJ (2002) Coronary magnetic resonance angiography in adolescents and young adults with Kawasaki disease. Circulation 105:908–911PubMedCrossRef

go back to reference JCS Joint Working Group (2014) Guidelines for diagnosis and management of cardiovascular sequelae in Kawasaki disease (JCS 2013). Digest version Circ J 78:2521–2562 JCS Joint Working Group (2014) Guidelines for diagnosis and management of cardiovascular sequelae in Kawasaki disease (JCS 2013). Digest version Circ J 78:2521–2562

go back to reference Baumgartner H, Bonhoeffer P, De Groot NMS, de Haan F, Deanfield JE, Galie N, Gatzoulis MA, Gohlke-Baerwolf C, Kaemmerer H, Kilner P, Meijboom F, Mulder BJM, Oechslin E, Oliver JM, Serraf A, Szatmari A, Thaulow E, Vouhe PR, Walma E, Task Force on the Management of Grown-up Congenital Heart Disease of the European Society of Cardiology (ESC), Association for European Paediatric Cardiology (AEPC), ESC Committee for Practice Guidelines (CPG) (2010) ESC Guidelines for the management of grown-up congenital heart disease (new version 2010). Eur Heart J 31:2915–2957CrossRef Baumgartner H, Bonhoeffer P, De Groot NMS, de Haan F, Deanfield JE, Galie N, Gatzoulis MA, Gohlke-Baerwolf C, Kaemmerer H, Kilner P, Meijboom F, Mulder BJM, Oechslin E, Oliver JM, Serraf A, Szatmari A, Thaulow E, Vouhe PR, Walma E, Task Force on the Management of Grown-up Congenital Heart Disease of the European Society of Cardiology (ESC), Association for European Paediatric Cardiology (AEPC), ESC Committee for Practice Guidelines (CPG) (2010) ESC Guidelines for the management of grown-up congenital heart disease (new version 2010). Eur Heart J 31:2915–2957CrossRef

go back to reference Molen AJ Van Der, Reimer P, Dekkers IA, Bongartz G, Bellin M (2018) Post-contrast acute kidney injury—Part 1 : Definition, clinical features , incidence , role of contrast medium and risk factors. Am Coll Radiol 2845–2855 Molen AJ Van Der, Reimer P, Dekkers IA, Bongartz G, Bellin M (2018) Post-contrast acute kidney injury—Part 1 : Definition, clinical features , incidence , role of contrast medium and risk factors. Am Coll Radiol 2845–2855

go back to reference van der Molen AJ, Reimer P, Dekkers IA, Bongartz G, Bellin M-F, Bertolotto M, Clement O, Heinz-Peer G, Stacul F, Webb JAWW, Thomsen HS (2018) Post-contrast acute kidney injury. Part 2: risk stratification, role of hydration and other prophylactic measures, patients taking metformin and chronic dialysis patients: recommendations for updated ESUR Contrast Medium Safety Committee guidelines. Eur Radiol 28:2856–2869PubMedPubMedCentralCrossRef van der Molen AJ, Reimer P, Dekkers IA, Bongartz G, Bellin M-F, Bertolotto M, Clement O, Heinz-Peer G, Stacul F, Webb JAWW, Thomsen HS (2018) Post-contrast acute kidney injury. Part 2: risk stratification, role of hydration and other prophylactic measures, patients taking metformin and chronic dialysis patients: recommendations for updated ESUR Contrast Medium Safety Committee guidelines. Eur Radiol 28:2856–2869PubMedPubMedCentralCrossRef

go back to reference Thomsen HS, Morcos SK, Almén T, Bellin MF, Bertolotto M, Bongartz G, Clement O, Leander P, Heinz-Peer G, Reimer P, Stacul F, Van Der Molen A, Webb JA (2013) Nephrogenic systemic fibrosis and gadolinium-based contrast media: updated ESUR Contrast Medium Safety Committee guidelines. Eur Radiol 23:307–318PubMedCrossRef Thomsen HS, Morcos SK, Almén T, Bellin MF, Bertolotto M, Bongartz G, Clement O, Leander P, Heinz-Peer G, Reimer P, Stacul F, Van Der Molen A, Webb JA (2013) Nephrogenic systemic fibrosis and gadolinium-based contrast media: updated ESUR Contrast Medium Safety Committee guidelines. Eur Radiol 23:307–318PubMedCrossRef

go back to reference Liu X, Zhao X, Huang J, Francois CJ, Tuite D, Bi X, Li D, Carr JC (2007) Comparison of 3D free-breathing coronary MR angiography and 64-MDCT angiography for detection of coronary stenosis in patients with high calcium scores. Am J Roentgenol 189:1326–1332CrossRef Liu X, Zhao X, Huang J, Francois CJ, Tuite D, Bi X, Li D, Carr JC (2007) Comparison of 3D free-breathing coronary MR angiography and 64-MDCT angiography for detection of coronary stenosis in patients with high calcium scores. Am J Roentgenol 189:1326–1332CrossRef

go back to reference Kanda T, Ishii K, Kawaguchi H, Kitajima K, Takenaka D (2014) High signal intensity in the dentate nucleus and globus pallidus on unenhanced T1-weighted MR images: relationship with increasing cumulative dose of a gadolinium-based contrast material. Radiology 270:834–841PubMedCrossRef Kanda T, Ishii K, Kawaguchi H, Kitajima K, Takenaka D (2014) High signal intensity in the dentate nucleus and globus pallidus on unenhanced T1-weighted MR images: relationship with increasing cumulative dose of a gadolinium-based contrast material. Radiology 270:834–841PubMedCrossRef

go back to reference Kanda T, Fukusato T, Matsuda M, Toyoda K, Oba H, Kotoku J, Haruyama T, Kitajima K, Furui S (2015) Gadolinium-based contrast agent accumulates in the brain even in subjects without severe renal dysfunction: evaluation of autopsy brain specimens with inductively coupled plasma mass spectroscopy. Radiology 276:228–232PubMedCrossRef Kanda T, Fukusato T, Matsuda M, Toyoda K, Oba H, Kotoku J, Haruyama T, Kitajima K, Furui S (2015) Gadolinium-based contrast agent accumulates in the brain even in subjects without severe renal dysfunction: evaluation of autopsy brain specimens with inductively coupled plasma mass spectroscopy. Radiology 276:228–232PubMedCrossRef

go back to reference Klemm T, Duda S, Machann J, Seekamp-Rahn K, Schnieder L, Claussen CD, Schick F (2000) MR imaging in the presence of vascular stents: A systematic assessment of artifacts for various stent orientations, sequence types, and field strengths. J Magn Reson Imaging 12:606–615PubMedCrossRef Klemm T, Duda S, Machann J, Seekamp-Rahn K, Schnieder L, Claussen CD, Schick F (2000) MR imaging in the presence of vascular stents: A systematic assessment of artifacts for various stent orientations, sequence types, and field strengths. J Magn Reson Imaging 12:606–615PubMedCrossRef

go back to reference Czervionke LF, Daniels DL, Wehrli FW, Mark LP, Hendrix LE, Strandt JA, Williams AL, Haughton VM (1988) Magnetic susceptibility artifacts in gradient-recalled echo MR imaging. AJNR Am J Neuroradiol 9:1149–1155PubMedPubMedCentral Czervionke LF, Daniels DL, Wehrli FW, Mark LP, Hendrix LE, Strandt JA, Williams AL, Haughton VM (1988) Magnetic susceptibility artifacts in gradient-recalled echo MR imaging. AJNR Am J Neuroradiol 9:1149–1155PubMedPubMedCentral

go back to reference Zhang L, Song X, Dong L, Li J, Dou R, Fan Z, An J, Li D (2018) Additive value of 3T cardiovascular magnetic resonance coronary angiography for detecting coronary artery disease. J Cardiovasc Magn Reson 20:1–8CrossRef Zhang L, Song X, Dong L, Li J, Dou R, Fan Z, An J, Li D (2018) Additive value of 3T cardiovascular magnetic resonance coronary angiography for detecting coronary artery disease. J Cardiovasc Magn Reson 20:1–8CrossRef

go back to reference Bettencourt N, Ferreira N, Chiribiri A, Schuster A, Sampaio F, Santos L, Melica B, Rodrigues A, Braga P, Teixeira M, Leite-Moreira A, Silva-Cardoso J, Portugal P, Gama V, Nagel E (2013) Additive value of magnetic resonance coronary angiography in a comprehensive cardiac magnetic resonance stress-rest protocol for detection of functionally significant coronary artery disease a pilot study. Circ Cardiovasc Imaging 6:730–738PubMedCrossRef Bettencourt N, Ferreira N, Chiribiri A, Schuster A, Sampaio F, Santos L, Melica B, Rodrigues A, Braga P, Teixeira M, Leite-Moreira A, Silva-Cardoso J, Portugal P, Gama V, Nagel E (2013) Additive value of magnetic resonance coronary angiography in a comprehensive cardiac magnetic resonance stress-rest protocol for detection of functionally significant coronary artery disease a pilot study. Circ Cardiovasc Imaging 6:730–738PubMedCrossRef

go back to reference Yoon YE, Kitagawa K, Kato S, Ishida M, Nakajima H, Kurita T, Ito M, Sakuma H (2012) Prognostic value of coronary magnetic resonance angiography for prediction of cardiac events in patients with suspected coronary artery disease. J Am Coll Cardiol 60:2316–2322PubMedCrossRef Yoon YE, Kitagawa K, Kato S, Ishida M, Nakajima H, Kurita T, Ito M, Sakuma H (2012) Prognostic value of coronary magnetic resonance angiography for prediction of cardiac events in patients with suspected coronary artery disease. J Am Coll Cardiol 60:2316–2322PubMedCrossRef

go back to reference Spuentrup E, Manning WJ, Botnar RM, Kissinger KV, Stuber M (2002) Impact of navigator timing on free-breathing submillimeter 3D coronary magnetic resonance angiography. Magn Reson Med 47:196–201PubMedCrossRef Spuentrup E, Manning WJ, Botnar RM, Kissinger KV, Stuber M (2002) Impact of navigator timing on free-breathing submillimeter 3D coronary magnetic resonance angiography. Magn Reson Med 47:196–201PubMedCrossRef

go back to reference Bhat H, Ge L, Nielles-Vallespin S, Zuehlsdorff S, Li D (2011) 3D radial sampling and 3D affine transform-based respiratory motion correction technique for free-breathing whole-heart coronary MRA with 100% imaging efficiency. Magn Reson Med 65:1269–1277PubMedPubMedCentralCrossRef Bhat H, Ge L, Nielles-Vallespin S, Zuehlsdorff S, Li D (2011) 3D radial sampling and 3D affine transform-based respiratory motion correction technique for free-breathing whole-heart coronary MRA with 100% imaging efficiency. Magn Reson Med 65:1269–1277PubMedPubMedCentralCrossRef

go back to reference Hu P, Chuang ML, Ngo LH, Stoeck CT, Peters DC, Kissinger KV, Goddu B, Goepfert LA, Manning WJ, Nezafat R (2010) Coronary MR imaging: Effect of timing and dose of isosorbide dinitrate administration. Radiology 254:401–409PubMedPubMedCentralCrossRef Hu P, Chuang ML, Ngo LH, Stoeck CT, Peters DC, Kissinger KV, Goddu B, Goepfert LA, Manning WJ, Nezafat R (2010) Coronary MR imaging: Effect of timing and dose of isosorbide dinitrate administration. Radiology 254:401–409PubMedPubMedCentralCrossRef

go back to reference Heer T, Reiter S, Trißler M, Höfling B, von Knobelsdorff-Brenkenhoff F, Pilz G (2017) Effect of nitroglycerin on the performance of MR coronary angiography. J Magn Reson Imaging 45:1419–1428PubMedCrossRef Heer T, Reiter S, Trißler M, Höfling B, von Knobelsdorff-Brenkenhoff F, Pilz G (2017) Effect of nitroglycerin on the performance of MR coronary angiography. J Magn Reson Imaging 45:1419–1428PubMedCrossRef

go back to reference Deshpande VS, Shea SM, Laub G, Simonetti OP, Finn JP, Li D (2001) 3D magnetization-prepared true-FISP: a new technique for imaging coronary arteries. Magn Reson Med 46:494–502PubMedCrossRef Deshpande VS, Shea SM, Laub G, Simonetti OP, Finn JP, Li D (2001) 3D magnetization-prepared true-FISP: a new technique for imaging coronary arteries. Magn Reson Med 46:494–502PubMedCrossRef

go back to reference Bi X, Deshpande V, Simonetti O, Laub G, Li D (2005) Three-dimensional breathhold SSFP coronary MRA: a comparison between 1.5T and 3.0T. J Magn Reson Imaging 22:206–212PubMedCrossRef Bi X, Deshpande V, Simonetti O, Laub G, Li D (2005) Three-dimensional breathhold SSFP coronary MRA: a comparison between 1.5T and 3.0T. J Magn Reson Imaging 22:206–212PubMedCrossRef

go back to reference Haase A, Frahm J, Matthaei D, Hänicke W, Merboldt K-D (1986) FLASH imaging: rapid NMR imaging using low flip-angle pulses. 1986. J Magn Reson 67:258–266 Haase A, Frahm J, Matthaei D, Hänicke W, Merboldt K-D (1986) FLASH imaging: rapid NMR imaging using low flip-angle pulses. 1986. J Magn Reson 67:258–266

go back to reference Liu X, Bi X, Huang J, Jerecic R, Carr J, Li D (2008) Contrast-enhanced whole-heart coronary magnetic resonance angiography at 3.0 T. Invest Radiol 43:663–668PubMedCrossRef Liu X, Bi X, Huang J, Jerecic R, Carr J, Li D (2008) Contrast-enhanced whole-heart coronary magnetic resonance angiography at 3.0 T. Invest Radiol 43:663–668PubMedCrossRef

go back to reference Kaul MG, Stork A, Bansmann PM, Nolte-Ernsting C, Lund GK, Weber C, Adam G (2004) Evaluation of balanced steady-state free precession (TrueFISP) and K-space segmented gradient echo sequences for 3D coronary MR angiography with navigator gating at 3 Tesla. RoFo Fortschritte auf dem Gebiet der Rontgenstrahlen und der Bildgeb Verfahren 176:1560–1565CrossRef Kaul MG, Stork A, Bansmann PM, Nolte-Ernsting C, Lund GK, Weber C, Adam G (2004) Evaluation of balanced steady-state free precession (TrueFISP) and K-space segmented gradient echo sequences for 3D coronary MR angiography with navigator gating at 3 Tesla. RoFo Fortschritte auf dem Gebiet der Rontgenstrahlen und der Bildgeb Verfahren 176:1560–1565CrossRef

go back to reference Sommer T, Hackenbroch M, Hofer U, Schmiedel A, Willinek WA, Flacke S, Gieseke J, Träber F, Fimmers R, Litt H, Schild H (2005) Coronary MR angiography at 3.0 T versus that at 1.5 T: initial results in patients suspected of having coronary artery disease. Radiology 234:718–725PubMedCrossRef Sommer T, Hackenbroch M, Hofer U, Schmiedel A, Willinek WA, Flacke S, Gieseke J, Träber F, Fimmers R, Litt H, Schild H (2005) Coronary MR angiography at 3.0 T versus that at 1.5 T: initial results in patients suspected of having coronary artery disease. Radiology 234:718–725PubMedCrossRef

go back to reference Brittain JH, Hu BS, Wright GA, Meyer CH, Macovski A, Nishimura DG (1995) Coronary angiography with magnetization-prepared T2 contrast. Magn Reson Med 33:689–696PubMedCrossRef Brittain JH, Hu BS, Wright GA, Meyer CH, Macovski A, Nishimura DG (1995) Coronary angiography with magnetization-prepared T2 contrast. Magn Reson Med 33:689–696PubMedCrossRef

go back to reference Botnar RM, Stuber M, Danias PG, Kissinger KV, Manning WJ (1999) Improved coronary artery definition with T2-weighted, free-breathing, three-dimensional coronary MRA. Circulation 99:3139–3148PubMedCrossRef Botnar RM, Stuber M, Danias PG, Kissinger KV, Manning WJ (1999) Improved coronary artery definition with T2-weighted, free-breathing, three-dimensional coronary MRA. Circulation 99:3139–3148PubMedCrossRef

go back to reference Nezafat M, Henningsson M, Ripley DP, Dedieu N, Greil G, Greenwood JP, Börnert P, Plein S, Botnar RM (2016) Coronary MR angiography at 3T: fat suppression versus water-fat separation. MAGMA 29:733–738PubMedPubMedCentralCrossRef Nezafat M, Henningsson M, Ripley DP, Dedieu N, Greil G, Greenwood JP, Börnert P, Plein S, Botnar RM (2016) Coronary MR angiography at 3T: fat suppression versus water-fat separation. MAGMA 29:733–738PubMedPubMedCentralCrossRef

go back to reference Bastiaansen JAM, Stuber M (2018) Flexible water excitation for fat-free MRI at 3T using lipid insensitive binomial off-resonant RF excitation (LIBRE) pulses. Magn Reson Med 79:3007–3017PubMedCrossRef Bastiaansen JAM, Stuber M (2018) Flexible water excitation for fat-free MRI at 3T using lipid insensitive binomial off-resonant RF excitation (LIBRE) pulses. Magn Reson Med 79:3007–3017PubMedCrossRef

go back to reference Bastiaansen JAM, van Heeswijk RB, Stuber M, Piccini D (2019) Noncontrast free-breathing respiratory self-navigated coronary artery cardiovascular magnetic resonance angiography at 3 T using lipid insensitive binomial off-resonant excitation (LIBRE). J Cardiovasc Magn Reson 21:38PubMedPubMedCentralCrossRef Bastiaansen JAM, van Heeswijk RB, Stuber M, Piccini D (2019) Noncontrast free-breathing respiratory self-navigated coronary artery cardiovascular magnetic resonance angiography at 3 T using lipid insensitive binomial off-resonant excitation (LIBRE). J Cardiovasc Magn Reson 21:38PubMedPubMedCentralCrossRef

go back to reference Koktzoglou I, Edelman RR (2018) Radial fast interrupted steady-state (FISS) magnetic resonance imaging. Magn Reson Med 79:2077–2086PubMedCrossRef Koktzoglou I, Edelman RR (2018) Radial fast interrupted steady-state (FISS) magnetic resonance imaging. Magn Reson Med 79:2077–2086PubMedCrossRef

go back to reference Bastiaansen JAM, Piccini D, Di Sopra L, Roy CW, Heerfordt J, Edelman RR, Koktzoglou I, Yerly J, Stuber M (2020) Natively fat-suppressed 5D whole-heart MRI with a radial free-running fast-interrupted steady-state (FISS) sequence at 1.5T and 3T. Magn Reson Med 83:45–55PubMedCrossRef Bastiaansen JAM, Piccini D, Di Sopra L, Roy CW, Heerfordt J, Edelman RR, Koktzoglou I, Yerly J, Stuber M (2020) Natively fat-suppressed 5D whole-heart MRI with a radial free-running fast-interrupted steady-state (FISS) sequence at 1.5T and 3T. Magn Reson Med 83:45–55PubMedCrossRef

go back to reference Mistretta CA, Wieben O, Velikina J, Block W, Perry J, Wu Y, Johnson K, Wu Y (2006) Highly constrained backprojection for time-resolved MRI. Magn Reson Med 55:30–40PubMedPubMedCentralCrossRef Mistretta CA, Wieben O, Velikina J, Block W, Perry J, Wu Y, Johnson K, Wu Y (2006) Highly constrained backprojection for time-resolved MRI. Magn Reson Med 55:30–40PubMedPubMedCentralCrossRef

go back to reference Fessler JA, Sutton BP (2003) Nonuniform fast Fourier transforms using min-max interpolation. IEEE Trans Signal Process 51:560–574CrossRef Fessler JA, Sutton BP (2003) Nonuniform fast Fourier transforms using min-max interpolation. IEEE Trans Signal Process 51:560–574CrossRef

go back to reference Smith DS, Sengupta S, Smith SA, Brian Welch E (2019) Trajectory optimized NUFFT: faster non-Cartesian MRI reconstruction through prior knowledge and parallel architectures. Magn Reson Med 81:2064–2071PubMedCrossRef Smith DS, Sengupta S, Smith SA, Brian Welch E (2019) Trajectory optimized NUFFT: faster non-Cartesian MRI reconstruction through prior knowledge and parallel architectures. Magn Reson Med 81:2064–2071PubMedCrossRef

go back to reference Lustig M, Pauly JM (2010) SPIRiT: Iterative self-consistent parallel imaging reconstruction from arbitrary k-space. Magn Reson Med 64:457–471PubMedPubMedCentralCrossRef Lustig M, Pauly JM (2010) SPIRiT: Iterative self-consistent parallel imaging reconstruction from arbitrary k-space. Magn Reson Med 64:457–471PubMedPubMedCentralCrossRef

go back to reference Nam S, Akçakaya M, Basha T, Stehning C, Manning WJ, Tarokh V, Nezafat R (2013) Compressed sensing reconstruction for whole-heart imaging with 3D radial trajectories: a graphics processing unit implementation. Magn Reson Med 69:91–102PubMedCrossRef Nam S, Akçakaya M, Basha T, Stehning C, Manning WJ, Tarokh V, Nezafat R (2013) Compressed sensing reconstruction for whole-heart imaging with 3D radial trajectories: a graphics processing unit implementation. Magn Reson Med 69:91–102PubMedCrossRef

go back to reference Liu J, Saloner D (2014) Accelerated MRI with CIRcular Cartesian UnderSampling (CIRCUS): a variable density Cartesian sampling strategy for compressed sensing and parallel imaging. Quant Imaging Med Surg 4:57–67PubMedPubMedCentral Liu J, Saloner D (2014) Accelerated MRI with CIRcular Cartesian UnderSampling (CIRCUS): a variable density Cartesian sampling strategy for compressed sensing and parallel imaging. Quant Imaging Med Surg 4:57–67PubMedPubMedCentral

go back to reference Prieto C, Doneva M, Usman M, Henningsson M, Greil G, Schaeffter T, Botnar RM (2015) Highly efficient respiratory motion compensated free-breathing coronary MRA using golden-step Cartesian acquisition. J Magn Reson Imaging 41:738–746PubMedCrossRef Prieto C, Doneva M, Usman M, Henningsson M, Greil G, Schaeffter T, Botnar RM (2015) Highly efficient respiratory motion compensated free-breathing coronary MRA using golden-step Cartesian acquisition. J Magn Reson Imaging 41:738–746PubMedCrossRef

go back to reference Bustin A, Ginami G, Cruz G, Correia T, Ismail TF, Rashid I, Neji R, Botnar RM, Prieto C (2019) Five-minute whole-heart coronary MRA with sub-millimeter isotropic resolution, 100% respiratory scan efficiency, and 3D-PROST reconstruction. Magn Reson Med 81:102–115PubMedCrossRef Bustin A, Ginami G, Cruz G, Correia T, Ismail TF, Rashid I, Neji R, Botnar RM, Prieto C (2019) Five-minute whole-heart coronary MRA with sub-millimeter isotropic resolution, 100% respiratory scan efficiency, and 3D-PROST reconstruction. Magn Reson Med 81:102–115PubMedCrossRef

go back to reference Pipe JG (1999) Motion correction with PROPELLER MRI: Application to head motion and free-breathing cardiac imaging. Magn Reson Med 42:963–969PubMedCrossRef Pipe JG (1999) Motion correction with PROPELLER MRI: Application to head motion and free-breathing cardiac imaging. Magn Reson Med 42:963–969PubMedCrossRef

go back to reference Feng L, Axel L, Chandarana H, Block KT, Sodickson DK, Otazo R (2016) XD-GRASP: Golden-angle radial MRI with reconstruction of extra motion-state dimensions using compressed sensing. Magn Reson Med 75:775–788PubMedCrossRef Feng L, Axel L, Chandarana H, Block KT, Sodickson DK, Otazo R (2016) XD-GRASP: Golden-angle radial MRI with reconstruction of extra motion-state dimensions using compressed sensing. Magn Reson Med 75:775–788PubMedCrossRef

go back to reference Haji-Valizadeh H, Collins JD, Aouad PJ, Serhal AM, Lindley MD, Pang J, Naresh NK, Carr JC, Kim D (2019) Accelerated, free-breathing, noncontrast, electrocardiograph-triggered, thoracic MR angiography with stack-of-stars k-space sampling and GRASP reconstruction. Magn Reson Med 81:524–532PubMedCrossRef Haji-Valizadeh H, Collins JD, Aouad PJ, Serhal AM, Lindley MD, Pang J, Naresh NK, Carr JC, Kim D (2019) Accelerated, free-breathing, noncontrast, electrocardiograph-triggered, thoracic MR angiography with stack-of-stars k-space sampling and GRASP reconstruction. Magn Reson Med 81:524–532PubMedCrossRef

go back to reference Larson AC, White RD, Laub G, McVeigh ER, Li D, Simonetti OP (2004) Self-gated cardiac cine MRI. Magn Reson Med 51:93–102PubMedPubMedCentralCrossRef Larson AC, White RD, Laub G, McVeigh ER, Li D, Simonetti OP (2004) Self-gated cardiac cine MRI. Magn Reson Med 51:93–102PubMedPubMedCentralCrossRef

go back to reference Liu J, Spincemaille P, Codella NCF, Nguyen TD, Prince MR, Wang Y (2010) Respiratory and cardiac self-gated free-breathing cardiac CINE imaging with multiecho 3D hybrid radial SSFP acquisition. Magn Reson Med 63:1230–1237PubMedPubMedCentralCrossRef Liu J, Spincemaille P, Codella NCF, Nguyen TD, Prince MR, Wang Y (2010) Respiratory and cardiac self-gated free-breathing cardiac CINE imaging with multiecho 3D hybrid radial SSFP acquisition. Magn Reson Med 63:1230–1237PubMedPubMedCentralCrossRef

go back to reference Stehning C, Börnert P, Nehrke K, Eggers H, Stuber M (2005) Free-breathing whole-heart coronary MRA with 3D radial SSFP and self-navigated image reconstruction. Magn Reson Med 54:476–480PubMedCrossRef Stehning C, Börnert P, Nehrke K, Eggers H, Stuber M (2005) Free-breathing whole-heart coronary MRA with 3D radial SSFP and self-navigated image reconstruction. Magn Reson Med 54:476–480PubMedCrossRef

go back to reference Winkelmann S, Schaeffter T, Koehler T, Eggers H, Doessel O (2007) An optimal radial profile order based on the golden ratio for time-resolved MRI. IEEE Trans Med Imaging 26:68–76PubMedCrossRef Winkelmann S, Schaeffter T, Koehler T, Eggers H, Doessel O (2007) An optimal radial profile order based on the golden ratio for time-resolved MRI. IEEE Trans Med Imaging 26:68–76PubMedCrossRef

go back to reference Feng L, Benkert T, Block KT, Sodickson DK, Otazo R, Chandarana H (2017) Compressed sensing for body MRI. J Magn Reson Imaging 45:966–987PubMedCrossRef Feng L, Benkert T, Block KT, Sodickson DK, Otazo R, Chandarana H (2017) Compressed sensing for body MRI. J Magn Reson Imaging 45:966–987PubMedCrossRef

go back to reference Feng L, Grimm R, Block KT, Chandarana H, Kim S, Xu J, Axel L, Sodickson DK, Otazo R (2014) Golden-angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI. Magn Reson Med 72:707–717 Feng L, Grimm R, Block KT, Chandarana H, Kim S, Xu J, Axel L, Sodickson DK, Otazo R (2014) Golden-angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI. Magn Reson Med 72:707–717

go back to reference Chandarana H, Block TK, Rosenkrantz AB, Lim RP, Kim D, Mossa DJ, Babb JS, Kiefer B, Lee VS (2011) Free-breathing radial 3D fat-suppressed T1-weighted gradient echo sequence: a viable alternative for contrast-enhanced liver imaging in patients unable to suspend respiration. Invest Radiol 46:648–653PubMedCrossRef Chandarana H, Block TK, Rosenkrantz AB, Lim RP, Kim D, Mossa DJ, Babb JS, Kiefer B, Lee VS (2011) Free-breathing radial 3D fat-suppressed T1-weighted gradient echo sequence: a viable alternative for contrast-enhanced liver imaging in patients unable to suspend respiration. Invest Radiol 46:648–653PubMedCrossRef

go back to reference Pruessmann KP, Weiger M, Scheidegger MB, Boesiger P (1999) SENSE: sensitivity encoding for fast MRI. Magn Reson Med 42:952–962PubMedCrossRef Pruessmann KP, Weiger M, Scheidegger MB, Boesiger P (1999) SENSE: sensitivity encoding for fast MRI. Magn Reson Med 42:952–962PubMedCrossRef

go back to reference Sodickson DK, Manning WJ (1997) Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays. Magn Reson Med 38:591–603PubMedCrossRef Sodickson DK, Manning WJ (1997) Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency coil arrays. Magn Reson Med 38:591–603PubMedCrossRef

go back to reference Griswold MA, Jakob PM, Heidemann RM, Nittka M, Jellus V, Wang J, Kiefer B, Haase A (2002) Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magn Reson Med 47:1202–1210PubMedCrossRef Griswold MA, Jakob PM, Heidemann RM, Nittka M, Jellus V, Wang J, Kiefer B, Haase A (2002) Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magn Reson Med 47:1202–1210PubMedCrossRef

go back to reference Deshmane A, Gulani V, Griswold MA, Seiberlich N (2012) Parallel MR imaging. J Magn Reson Imaging 36:55–72PubMedPubMedCentralCrossRef Deshmane A, Gulani V, Griswold MA, Seiberlich N (2012) Parallel MR imaging. J Magn Reson Imaging 36:55–72PubMedPubMedCentralCrossRef

go back to reference Gharib AM, Abd-Elmoniem KZ, Ho VB, Födi E, Herzka DA, Ohayon J, Stuber M, Pettigrew RI (2012) The feasibility of 350 μm spatial resolution coronary magnetic resonance angiography at 3 T in humans. Invest Radiol 47:339–345PubMedPubMedCentralCrossRef Gharib AM, Abd-Elmoniem KZ, Ho VB, Födi E, Herzka DA, Ohayon J, Stuber M, Pettigrew RI (2012) The feasibility of 350 μm spatial resolution coronary magnetic resonance angiography at 3 T in humans. Invest Radiol 47:339–345PubMedPubMedCentralCrossRef

go back to reference Lustig M, Donoho D, Pauly JM (2007) Sparse MRI: The application of compressed sensing for rapid MR imaging. Magn Reson Med 58:1182–1195PubMedCrossRef Lustig M, Donoho D, Pauly JM (2007) Sparse MRI: The application of compressed sensing for rapid MR imaging. Magn Reson Med 58:1182–1195PubMedCrossRef

go back to reference Lustig M, Donoho D (2008) Compressed sensing MRI. Signal Process Mag 72–82 Lustig M, Donoho D (2008) Compressed sensing MRI. Signal Process Mag 72–82

go back to reference Akçakaya M, Basha TA, Goddu B, Goepfert LA, Kissinger KV, Tarokh V, Manning WJ, Nezafat R (2011) Low-dimensional-structure self-learning and thresholding: regularization beyond compressed sensing for MRI reconstruction. Magn Reson Med 66:756–767PubMedPubMedCentralCrossRef Akçakaya M, Basha TA, Goddu B, Goepfert LA, Kissinger KV, Tarokh V, Manning WJ, Nezafat R (2011) Low-dimensional-structure self-learning and thresholding: regularization beyond compressed sensing for MRI reconstruction. Magn Reson Med 66:756–767PubMedPubMedCentralCrossRef

go back to reference Otazo R, Kim D, Axel L, Sodickson DK (2010) Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI. Magn Reson Med 64:767–776PubMedPubMedCentralCrossRef Otazo R, Kim D, Axel L, Sodickson DK (2010) Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI. Magn Reson Med 64:767–776PubMedPubMedCentralCrossRef

go back to reference Uecker M, Lai P, Murphy MJ, Virtue P, Elad M, Pauly JM, Vasanawala SS, Lustig M (2014) ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA. Magn Reson Med 71:990–1001PubMedPubMedCentralCrossRef Uecker M, Lai P, Murphy MJ, Virtue P, Elad M, Pauly JM, Vasanawala SS, Lustig M (2014) ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA. Magn Reson Med 71:990–1001PubMedPubMedCentralCrossRef

go back to reference Hollingsworth KG (2015) Reducing acquisition time in clinical MRI by data undersampling and compressed sensing reconstruction. Phys Med Biol 60:R297–R322PubMedCrossRef Hollingsworth KG (2015) Reducing acquisition time in clinical MRI by data undersampling and compressed sensing reconstruction. Phys Med Biol 60:R297–R322PubMedCrossRef

go back to reference Haris K, Hedström E, Bidhult S, Testud F, Maglaveras N, Heiberg E, Hansson SR, Arheden H, Aletras AH (2017) Self-gated fetal cardiac MRI with tiny golden angle iGRASP: a feasibility study. J Magn Reson Imaging 46:207–217PubMedCrossRef Haris K, Hedström E, Bidhult S, Testud F, Maglaveras N, Heiberg E, Hansson SR, Arheden H, Aletras AH (2017) Self-gated fetal cardiac MRI with tiny golden angle iGRASP: a feasibility study. J Magn Reson Imaging 46:207–217PubMedCrossRef

go back to reference Hyun CM, Kim HP, Lee SM, Lee S, Seo JK (2018) Deep learning for undersampled MRI reconstruction. Phys Med Biol 63:135007PubMedCrossRef Hyun CM, Kim HP, Lee SM, Lee S, Seo JK (2018) Deep learning for undersampled MRI reconstruction. Phys Med Biol 63:135007PubMedCrossRef

go back to reference Hauptmann A, Arridge S, Lucka F, Muthurangu V, Steeden JA (2018) Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning–proof of concept in congenital heart disease. Magn Reson Med 1143–1156 Hauptmann A, Arridge S, Lucka F, Muthurangu V, Steeden JA (2018) Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning–proof of concept in congenital heart disease. Magn Reson Med 1143–1156

go back to reference Aitken AP, Henningsson M, Botnar RM, Schaeffter T, Prieto C (2015) 100% Efficient three-dimensional coronary MR angiography with two-dimensional beat-to-beat translational and bin-to-bin affine motion correction. Magn Reson Med 74:756–764PubMedCrossRef Aitken AP, Henningsson M, Botnar RM, Schaeffter T, Prieto C (2015) 100% Efficient three-dimensional coronary MR angiography with two-dimensional beat-to-beat translational and bin-to-bin affine motion correction. Magn Reson Med 74:756–764PubMedCrossRef

go back to reference Addy NO, Ingle RR, Luo J, Baron CA, Yang PC, Hu BS, Nishimura DG (2017) 3D image-based navigators for coronary MR angiography. Magn Reson Med 77:1874–1883PubMedCrossRef Addy NO, Ingle RR, Luo J, Baron CA, Yang PC, Hu BS, Nishimura DG (2017) 3D image-based navigators for coronary MR angiography. Magn Reson Med 77:1874–1883PubMedCrossRef

go back to reference Piccini D, Littmann A, Nielles-Vallespin S, Zenge MO (2012) Respiratory self-navigation for whole-heart bright-blood coronary MRI: Methods for robust isolation and automatic segmentation of the blood pool. Magn Reson Med 68:571–579PubMedCrossRef Piccini D, Littmann A, Nielles-Vallespin S, Zenge MO (2012) Respiratory self-navigation for whole-heart bright-blood coronary MRI: Methods for robust isolation and automatic segmentation of the blood pool. Magn Reson Med 68:571–579PubMedCrossRef

go back to reference Piccini D, Bonanno G, Ginami G, Littmann A, Zenge MO, Stuber M (2016) Is there an optimal respiratory reference position for self-navigated whole-heart coronary MR angiography? J Magn Reson Imaging 43:426–433PubMedCrossRef Piccini D, Bonanno G, Ginami G, Littmann A, Zenge MO, Stuber M (2016) Is there an optimal respiratory reference position for self-navigated whole-heart coronary MR angiography? J Magn Reson Imaging 43:426–433PubMedCrossRef

go back to reference Pang J, Bhat H, Sharif B, Fan Z, Thomson LEJ, Labounty T, Friedman JD, Min J, Berman DS, Li D (2014) Whole-heart coronary MRA with 100% respiratory gating efficiency: self-navigated three-dimensional retrospective image-based motion correction (TRIM). Magn Reson Med 71:67–74PubMedCrossRef Pang J, Bhat H, Sharif B, Fan Z, Thomson LEJ, Labounty T, Friedman JD, Min J, Berman DS, Li D (2014) Whole-heart coronary MRA with 100% respiratory gating efficiency: self-navigated three-dimensional retrospective image-based motion correction (TRIM). Magn Reson Med 71:67–74PubMedCrossRef

go back to reference Greenspan H, Peled S, Oz G, Kiryati N (2001) MRI inter-slice reconstruction using super-resolution. Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinformatics) 2208:1204–1206 Greenspan H, Peled S, Oz G, Kiryati N (2001) MRI inter-slice reconstruction using super-resolution. Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinformatics) 2208:1204–1206

go back to reference Rueda A, Malpica N, Romero E (2013) Single-image super-resolution of brain MR images using overcomplete dictionaries. Med Image Anal 17:113–132PubMedCrossRef Rueda A, Malpica N, Romero E (2013) Single-image super-resolution of brain MR images using overcomplete dictionaries. Med Image Anal 17:113–132PubMedCrossRef

go back to reference Chen Y, Xie Y, Zhou Z, Shi F, Christodoulou AG, Li D (2018) Brain MRI super resolution using 3D deep densely connected neural networks. Proc—Int Symp Biomed Imaging 2018-April:739–742 Chen Y, Xie Y, Zhou Z, Shi F, Christodoulou AG, Li D (2018) Brain MRI super resolution using 3D deep densely connected neural networks. Proc—Int Symp Biomed Imaging 2018-April:739–742

go back to reference Chen Y, Shi F, Christodoulou AG, Xie Y, Zhou Z, Li D (2018) Efficient and accurate MRI super-resolution using a generative adversarial network and 3D multi-level densely connected network. Med Image Comput Comput Assist Interv 91–99 Chen Y, Shi F, Christodoulou AG, Xie Y, Zhou Z, Li D (2018) Efficient and accurate MRI super-resolution using a generative adversarial network and 3D multi-level densely connected network. Med Image Comput Comput Assist Interv 91–99

go back to reference Chen Y, Shaw JL, Xie Y, Li D, Christodoulou AG (2019) Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: application to 5-D cardiac MR Multitasking 1–9 Chen Y, Shaw JL, Xie Y, Li D, Christodoulou AG (2019) Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: application to 5-D cardiac MR Multitasking 1–9

go back to reference Ishida M, Nakayama R, Uno M, Ito T, Goto Y, Ichikawa Y, Nagata M, Kitagawa K, Nakamori S, Dohi K, Ito M, Sakuma H (2014) Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA. J Cardiovasc Magn Reson 16:P218 Ishida M, Nakayama R, Uno M, Ito T, Goto Y, Ichikawa Y, Nagata M, Kitagawa K, Nakamori S, Dohi K, Ito M, Sakuma H (2014) Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA. J Cardiovasc Magn Reson 16:P218

go back to reference Esses SJ, Lu X, Zhao T, Shanbhogue K, Dane B, Bruno M, Chandarana H (2018) Automated image quality evaluation of T2-weighted liver MRI utilizing deep learning architecture. J Magn Reson Imaging 47:723–728PubMedCrossRef Esses SJ, Lu X, Zhao T, Shanbhogue K, Dane B, Bruno M, Chandarana H (2018) Automated image quality evaluation of T2-weighted liver MRI utilizing deep learning architecture. J Magn Reson Imaging 47:723–728PubMedCrossRef

go back to reference Nakanishi R, Sankaran S, Grady L, Malpeso J, Yousfi R, Osawa K, Ceponiene I, Nazarat N, Rahmani S, Kissel K, Jayawardena E, Dailing C, Zarins C, Koo BK, Min JK, Taylor CA, Budoff MJ (2018) Automated estimation of image quality for coronary computed tomographic angiography using machine learning. Eur Radiol 28:4018–4026PubMedCrossRef Nakanishi R, Sankaran S, Grady L, Malpeso J, Yousfi R, Osawa K, Ceponiene I, Nazarat N, Rahmani S, Kissel K, Jayawardena E, Dailing C, Zarins C, Koo BK, Min JK, Taylor CA, Budoff MJ (2018) Automated estimation of image quality for coronary computed tomographic angiography using machine learning. Eur Radiol 28:4018–4026PubMedCrossRef

go back to reference Gudbjartsson H, Patz S (1995) The Rician distribution of noisy MRI data. Magn Reson Med 34:910–914PubMedPubMedCentralCrossRef Gudbjartsson H, Patz S (1995) The Rician distribution of noisy MRI data. Magn Reson Med 34:910–914PubMedPubMedCentralCrossRef

go back to reference Manjón JV, Coupé P, Martí-Bonmatí L, Collins DL, Robles M (2010) Adaptive non-local means denoising of MR images with spatially varying noise levels. J Magn Reson Imaging 31:192–203PubMedCrossRef Manjón JV, Coupé P, Martí-Bonmatí L, Collins DL, Robles M (2010) Adaptive non-local means denoising of MR images with spatially varying noise levels. J Magn Reson Imaging 31:192–203PubMedCrossRef

go back to reference Dabov K, Foi A, Katkovnik V, Egiazarian K (2007) Image denoising by sparse 3-D transform-domain collaborative filtering. IEEE Trans Image Process 16:2080–2095PubMedCrossRef Dabov K, Foi A, Katkovnik V, Egiazarian K (2007) Image denoising by sparse 3-D transform-domain collaborative filtering. IEEE Trans Image Process 16:2080–2095PubMedCrossRef

go back to reference Gupta SM (2018) A review and comprehensive comparison of image de-noising techniques. In: 2017 6th Int Conf Reliab Infocom Technol Optim Trends Futur Dir ICRITO 2017 2018-Janua, pp 624–629 Gupta SM (2018) A review and comprehensive comparison of image de-noising techniques. In: 2017 6th Int Conf Reliab Infocom Technol Optim Trends Futur Dir ICRITO 2017 2018-Janua, pp 624–629

go back to reference Zhu B, Liu JZ, Cauley SF, Rosen BR, Rosen MS (2018) Image reconstruction by domain-transform manifold learning. Nature 555:487–492PubMedCrossRef Zhu B, Liu JZ, Cauley SF, Rosen BR, Rosen MS (2018) Image reconstruction by domain-transform manifold learning. Nature 555:487–492PubMedCrossRef

go back to reference Han Y, Ye JC (2018) k-space deep learning for accelerated. MRI. 1–11 Han Y, Ye JC (2018) k-space deep learning for accelerated. MRI. 1–11

go back to reference Chen Y, Pock T (2017) Trainable nonlinear reaction diffusion: a flexible framework for fast and effective image restoration. IEEE Trans Pattern Anal Mach Intell 39:1256–1272PubMedCrossRef Chen Y, Pock T (2017) Trainable nonlinear reaction diffusion: a flexible framework for fast and effective image restoration. IEEE Trans Pattern Anal Mach Intell 39:1256–1272PubMedCrossRef

go back to reference Zhang K, Zuo W, Chen Y, Meng D, Zhang L (2017) Beyond a Gaussian denoiser: residual learning of deep CNN for image denoising. IEEE Trans Image Process 26:3142–3155PubMedCrossRef Zhang K, Zuo W, Chen Y, Meng D, Zhang L (2017) Beyond a Gaussian denoiser: residual learning of deep CNN for image denoising. IEEE Trans Image Process 26:3142–3155PubMedCrossRef

go back to reference Isogawa K, Ida T, Shiodera T, Takeguchi T (2018) Deep shrinkage convolutional neural network for adaptive noise reduction. IEEE Signal Process Lett 25:224–228CrossRef Isogawa K, Ida T, Shiodera T, Takeguchi T (2018) Deep shrinkage convolutional neural network for adaptive noise reduction. IEEE Signal Process Lett 25:224–228CrossRef

go back to reference Kidoh M, Shinoda K, Kitajima M, Isogawa K, Nambu M, Uetani H, Morita K, Nakaura T, Tateishi M, Yamashita YY, Yamashita YY (2019) Deep learning based noise reduction for brain MR imaging: tests on phantoms and healthy volunteers. Magn Reson Med Sci. https://doi.org/10.2463/mrms.mp.2019-0018CrossRefPubMedPubMedCentral Kidoh M, Shinoda K, Kitajima M, Isogawa K, Nambu M, Uetani H, Morita K, Nakaura T, Tateishi M, Yamashita YY, Yamashita YY (2019) Deep learning based noise reduction for brain MR imaging: tests on phantoms and healthy volunteers. Magn Reson Med Sci. https://​doi.​org/​10.​2463/​mrms.​mp.​2019-0018CrossRefPubMedPubMedCentral

go back to reference Etienne A, Botnar RM, Van Muiswinkel AMC, Boesiger P, Manning WJ, Stuber M (2002) “Soap-Bubble” visualization and quantitative analysis of 3D coronary magnetic resonance angiograms. Magn Reson Med 48:658–666PubMedCrossRef Etienne A, Botnar RM, Van Muiswinkel AMC, Boesiger P, Manning WJ, Stuber M (2002) “Soap-Bubble” visualization and quantitative analysis of 3D coronary magnetic resonance angiograms. Magn Reson Med 48:658–666PubMedCrossRef

go back to reference Soleimanifard S, Schär M, Hays AG, Weiss RG, Stuber M, Prince JL (2012) Vessel centerline tracking and boundary segmentation in coronary MRA with minimal manual interaction. In: Proc—Int symp biomed imaging, pp 1417–1420 Soleimanifard S, Schär M, Hays AG, Weiss RG, Stuber M, Prince JL (2012) Vessel centerline tracking and boundary segmentation in coronary MRA with minimal manual interaction. In: Proc—Int symp biomed imaging, pp 1417–1420

go back to reference Yonezawa M, Nagata M, Kitagawa K, Kato S, Yoon Y, Nakajima H, Nakamori S, Sakuma H, Hatakenaka M, Honda H (2014) Quantitative analysis of 1.5-T whole-heart coronary MR angiograms obtained with 32-channel cardiac coils: a comparison with conventional quantitative coronary angiography. Radiology 271:356–364PubMedCrossRef Yonezawa M, Nagata M, Kitagawa K, Kato S, Yoon Y, Nakajima H, Nakamori S, Sakuma H, Hatakenaka M, Honda H (2014) Quantitative analysis of 1.5-T whole-heart coronary MR angiograms obtained with 32-channel cardiac coils: a comparison with conventional quantitative coronary angiography. Radiology 271:356–364PubMedCrossRef

go back to reference Kim SM, Choi J-H, Choe YH (2016) Coronary artery total occlusion: MR angiographic imaging findings and success rates of percutaneous coronary intervention according to intraluminal signal intensity patterns. Radiology 279:84–92PubMedCrossRef Kim SM, Choi J-H, Choe YH (2016) Coronary artery total occlusion: MR angiographic imaging findings and success rates of percutaneous coronary intervention according to intraluminal signal intensity patterns. Radiology 279:84–92PubMedCrossRef

go back to reference Kawasaki T, Koga S, Koga N, Noguchi T, Tanaka H, Koga H, Serikawa T, Orita Y, Ikeda S, Mito T, Goto Y, Shintani Y, Tanaka A, Fukuyama T (2009) Characterization of hyperintense plaque with noncontrast T(1)-weighted cardiac magnetic resonance coronary plaque imaging: comparison with multislice computed tomography and intravascular ultrasound. JACC Cardiovasc Imaging 2:720–728PubMedCrossRef Kawasaki T, Koga S, Koga N, Noguchi T, Tanaka H, Koga H, Serikawa T, Orita Y, Ikeda S, Mito T, Goto Y, Shintani Y, Tanaka A, Fukuyama T (2009) Characterization of hyperintense plaque with noncontrast T(1)-weighted cardiac magnetic resonance coronary plaque imaging: comparison with multislice computed tomography and intravascular ultrasound. JACC Cardiovasc Imaging 2:720–728PubMedCrossRef

go back to reference Noguchi T, Yamada N, Higashi M, Goto Y, Naito H (2011) High-intensity signals in carotid plaques on T1-weighted magnetic resonance imaging predict coronary events in patients with coronary artery disease. J Am Coll Cardiol 58:416–422PubMedCrossRef Noguchi T, Yamada N, Higashi M, Goto Y, Naito H (2011) High-intensity signals in carotid plaques on T1-weighted magnetic resonance imaging predict coronary events in patients with coronary artery disease. J Am Coll Cardiol 58:416–422PubMedCrossRef

go back to reference Oshita A, Kawakami H, Kito K, Kono Y, Miyoshi T, Matsuoka H (2018) Clinical utility of non-contrast T1-weighted magnetic resonance imaging in percutaneous coronary intervention: a case report. J Cardiol Cases 19:9–11PubMedPubMedCentralCrossRef Oshita A, Kawakami H, Kito K, Kono Y, Miyoshi T, Matsuoka H (2018) Clinical utility of non-contrast T1-weighted magnetic resonance imaging in percutaneous coronary intervention: a case report. J Cardiol Cases 19:9–11PubMedPubMedCentralCrossRef

go back to reference Raman SV, Winner MW, Tran T, Velayutham M, Simonetti OP, Baker PB, Olesik J, McCarthy B, Ferketich AK, Zweier JL (2008) In Vivo Atherosclerotic plaque characterization using magnetic susceptibility distinguishes symptom-producing plaques. JACC Cardiovasc Imaging 1:49–57PubMedPubMedCentralCrossRef Raman SV, Winner MW, Tran T, Velayutham M, Simonetti OP, Baker PB, Olesik J, McCarthy B, Ferketich AK, Zweier JL (2008) In Vivo Atherosclerotic plaque characterization using magnetic susceptibility distinguishes symptom-producing plaques. JACC Cardiovasc Imaging 1:49–57PubMedPubMedCentralCrossRef

go back to reference Sharkey-Toppen TP, Tewari AK, Raman SV (2014) Iron and atherosclerosis: Nailing down a novel target with magnetic resonance. J Cardiovasc Transl Res 7:533–542PubMedPubMedCentralCrossRef Sharkey-Toppen TP, Tewari AK, Raman SV (2014) Iron and atherosclerosis: Nailing down a novel target with magnetic resonance. J Cardiovasc Transl Res 7:533–542PubMedPubMedCentralCrossRef

go back to reference Károlyi M, Seifarth H, Liew G, Schlett CL, Maurovich-Horvat P, Stolzmann P, Dai G, Huang S, Goergen CJ, Nakano M, Otsuka F, Virmani R, Hoffmann U, Sosnovik DE (2013) Classification of coronary atherosclerotic plaques ex vivo with T1, T2, and ultrashort echo time CMR. JACC Cardiovasc Imaging 6:466–474PubMedPubMedCentralCrossRef Károlyi M, Seifarth H, Liew G, Schlett CL, Maurovich-Horvat P, Stolzmann P, Dai G, Huang S, Goergen CJ, Nakano M, Otsuka F, Virmani R, Hoffmann U, Sosnovik DE (2013) Classification of coronary atherosclerotic plaques ex vivo with T1, T2, and ultrashort echo time CMR. JACC Cardiovasc Imaging 6:466–474PubMedPubMedCentralCrossRef

go back to reference Chan CF, Keenan NG, Nielles-Vallespin S, Gatehouse P, Sheppard MN, Boyle JJ, Pennell DJ, Firmin DN (2010) Ultra-short echo time cardiovascular magnetic resonance of atherosclerotic carotid plaque. J Cardiovasc Magn Reson Off J Soc Cardiovasc Magn Reson 12:17 Chan CF, Keenan NG, Nielles-Vallespin S, Gatehouse P, Sheppard MN, Boyle JJ, Pennell DJ, Firmin DN (2010) Ultra-short echo time cardiovascular magnetic resonance of atherosclerotic carotid plaque. J Cardiovasc Magn Reson Off J Soc Cardiovasc Magn Reson 12:17

go back to reference Yang Q, Barnes SRS, Wu Z, Neelavalli J, Hu J, Li K, Liu J, Haacke EM (2009) Imaging the vessel wall in major peripheral arteries using susceptibility-weighted imaging. J Magn Reson Imaging 30:357–365PubMedPubMedCentralCrossRef Yang Q, Barnes SRS, Wu Z, Neelavalli J, Hu J, Li K, Liu J, Haacke EM (2009) Imaging the vessel wall in major peripheral arteries using susceptibility-weighted imaging. J Magn Reson Imaging 30:357–365PubMedPubMedCentralCrossRef

go back to reference Rajendran R, Minqin R, Ronald JA, Rutt BK, Halliwell B, Watt F (2012) Does iron inhibit calcification during atherosclerosis? Free Radic Biol Med 53:1675–1679PubMedPubMedCentralCrossRef Rajendran R, Minqin R, Ronald JA, Rutt BK, Halliwell B, Watt F (2012) Does iron inhibit calcification during atherosclerosis? Free Radic Biol Med 53:1675–1679PubMedPubMedCentralCrossRef

go back to reference Sakuma H, Saeed M, Takeda K, Wendland MF, Szolar H, Shimakawa A, Foo TKE, Higgins CB (1997) Quantification volume flow velocity-encoded Cine MR imaging. AJR Am J Roentgenol 1363–1367 Sakuma H, Saeed M, Takeda K, Wendland MF, Szolar H, Shimakawa A, Foo TKE, Higgins CB (1997) Quantification volume flow velocity-encoded Cine MR imaging. AJR Am J Roentgenol 1363–1367

go back to reference Hood WB (1968) Regional venous drainage of the human heart. Heart 30:105–109CrossRef Hood WB (1968) Regional venous drainage of the human heart. Heart 30:105–109CrossRef

go back to reference Lund GK, Wendland MF, Shimakawa A, Arheden H, Ståhlberg F, Higgins CB, Saeed M (2000) Coronary sinus flow measurement by means of velocity-encoded cine MR imaging: validation by using flow probes in dogs. Radiology 217:487–493PubMedCrossRef Lund GK, Wendland MF, Shimakawa A, Arheden H, Ståhlberg F, Higgins CB, Saeed M (2000) Coronary sinus flow measurement by means of velocity-encoded cine MR imaging: validation by using flow probes in dogs. Radiology 217:487–493PubMedCrossRef

go back to reference Kato S, Saito N, Nakachi T, Fukui K, Iwasawa T, Taguri M, Kosuge M, Kimura K (2017) Stress perfusion coronary flow reserve versus cardiac magnetic resonance for known or suspected CAD. J Am Coll Cardiol 70:869–879PubMedCrossRef Kato S, Saito N, Nakachi T, Fukui K, Iwasawa T, Taguri M, Kosuge M, Kimura K (2017) Stress perfusion coronary flow reserve versus cardiac magnetic resonance for known or suspected CAD. J Am Coll Cardiol 70:869–879PubMedCrossRef

go back to reference Sakuma H, Kawada N, Takeda K, Higgins CB (1999) MR measurement of coronary blood flow. J Magn Reson Imaging 10:728–733PubMedCrossRef Sakuma H, Kawada N, Takeda K, Higgins CB (1999) MR measurement of coronary blood flow. J Magn Reson Imaging 10:728–733PubMedCrossRef

go back to reference Van De Hoef TP, Van Lavieren MA, Damman P, Delewi R, Piek MA, Chamuleau SAJ, Voskuil M, Henriques JPS, Koch KT, De Winter RJ, Spaan JAE, Siebes M, Tijssen JGP, Meuwissen M, Piek JJ (2014) Physiological basis and long-term clinical outcome of discordance between fractional flow reserve and coronary flow velocity reserve in coronary stenoses of intermediate severity. Circ Cardiovasc Interv 7:301–311PubMedCrossRef Van De Hoef TP, Van Lavieren MA, Damman P, Delewi R, Piek MA, Chamuleau SAJ, Voskuil M, Henriques JPS, Koch KT, De Winter RJ, Spaan JAE, Siebes M, Tijssen JGP, Meuwissen M, Piek JJ (2014) Physiological basis and long-term clinical outcome of discordance between fractional flow reserve and coronary flow velocity reserve in coronary stenoses of intermediate severity. Circ Cardiovasc Interv 7:301–311PubMedCrossRef

go back to reference Van De Hoef TP, Siebes M, Spaan JAE, Piek JJ (2015) Fundamentals in clinical coronary physiology: Why coronary flow is more important than coronary pressure. Eur Heart J 36:3312–3319PubMedCrossRef Van De Hoef TP, Siebes M, Spaan JAE, Piek JJ (2015) Fundamentals in clinical coronary physiology: Why coronary flow is more important than coronary pressure. Eur Heart J 36:3312–3319PubMedCrossRef

go back to reference Murthy VL, Naya M, Foster CR, Hainer J, Gaber M, Di Carli G, Blankstein R, Dorbala S, Sitek A, Pencina MJ, Di Carli MF (2011) Improved cardiac risk assessment with noninvasive measures of coronary flow reserve. Circulation 124:2215–2224PubMedPubMedCentralCrossRef Murthy VL, Naya M, Foster CR, Hainer J, Gaber M, Di Carli G, Blankstein R, Dorbala S, Sitek A, Pencina MJ, Di Carli MF (2011) Improved cardiac risk assessment with noninvasive measures of coronary flow reserve. Circulation 124:2215–2224PubMedPubMedCentralCrossRef

go back to reference Deng Z, Fan Z, Lee S-E, Nguyen C, Xie Y, Pang J, Bi X, Yang Q, Choi B-W, Kim J-S, Berman D, Chang H-J, Li D (2017) Noninvasive measurement of pressure gradient across a coronary stenosis using phase contrast (PC)-MRI: a feasibility study. Magn Reson Med 77:529–537PubMedCrossRef Deng Z, Fan Z, Lee S-E, Nguyen C, Xie Y, Pang J, Bi X, Yang Q, Choi B-W, Kim J-S, Berman D, Chang H-J, Li D (2017) Noninvasive measurement of pressure gradient across a coronary stenosis using phase contrast (PC)-MRI: a feasibility study. Magn Reson Med 77:529–537PubMedCrossRef

go back to reference Dyverfeldt P, Bissell M, Barker AJ, Bolger AF, Carlhäll CJ, Ebbers T, Francios CJ, Frydrychowicz A, Geiger J, Giese D, Hope MD, Kilner PJ, Kozerke S, Myerson S, Neubauer S, Wieben O, Markl M (2015) 4D flow cardiovascular magnetic resonance consensus statement. J Cardiovasc Magn Reson 17:1–19CrossRef Dyverfeldt P, Bissell M, Barker AJ, Bolger AF, Carlhäll CJ, Ebbers T, Francios CJ, Frydrychowicz A, Geiger J, Giese D, Hope MD, Kilner PJ, Kozerke S, Myerson S, Neubauer S, Wieben O, Markl M (2015) 4D flow cardiovascular magnetic resonance consensus statement. J Cardiovasc Magn Reson 17:1–19CrossRef

go back to reference Shinoda K, Isogawa K, Nambu M, Yamashita Y, Uetani H, Kitajima M, Yamashita Y (2019) Deep learning based adaptive noise reduction in multi-contrast MR images. ISMRM 2019 Abstr Shinoda K, Isogawa K, Nambu M, Yamashita Y, Uetani H, Kitajima M, Yamashita Y (2019) Deep learning based adaptive noise reduction in multi-contrast MR images. ISMRM 2019 Abstr

go back to reference Mugler JP, Brookeman JR (1990) Three-dimensional magnetization-prepared rapid gradient-echo imaging (3D MP RAGE). Magn Reson Med 15:152–157PubMedCrossRef Mugler JP, Brookeman JR (1990) Three-dimensional magnetization-prepared rapid gradient-echo imaging (3D MP RAGE). Magn Reson Med 15:152–157PubMedCrossRef