Top

Journal of Imaging Informatics in Medicine

Published in:

01-06-2009

Development of Digital Subtraction Angiography for Coronary Artery

Authors: Megumi Yamamoto, Yasuhiko Okura, Masaharu Ishihara, Masayuki Kagemoto, Kengo Harada, Takayuki Ishida

Published in: Journal of Imaging Informatics in Medicine | Issue 3/2009

Abstract

The purpose of this research is to develop a new method of digital subtraction angiography (DSA) that can be applied to real time with reducing motion artifacts caused by heart movement and respiration. To create the mask image for DSA, the maximum pixel value at each pixel (which is the opposite pixel value to that of a vessel filled by contrast medium) was selected from the previous 14 image frames. The search area for the maximum pixel value was selected using the value of the standard deviation (SD) for each pixel from the previous 14 image frames. When the SD value in the 14 frames was greater than a threshold level, the search area of the maximum value became 1 pixel × 1 pixel × 14 frames; otherwise, 7 pixels × 7 pixels × 7 frames. The image quality of new DSA was evaluated on 20 coronary arteriogram images, including various degrees of occlusion or stenosis. The results indicated a considerable improvement in DSA image quality; thus, the coronary arteries, carotid artery, and vein were clearly enhanced.

Takahashi M, Shinozato J, Korogi Y: Automatic registration for correction of localized misregistration artifacts in digital subtraction angiography of the head and neck. Acta Radiol Suppl Stock 4:281–284, 1986

Hiroshima K, Nishino J, Odaka T, Ogura H, Fukushima T, Nishimoto Y, Tanaka M, Hayashi N, Komuro H, Ishii Y: New registration method using the local adjustment of ROIs in DSA image of the head and neck. IEICE Trans Inf Syst J82-D-2(3):566–570, 1999

De Castoro E, Morandi C: Registration of translated and rotated images using finite Fourier transforms. IEEE Trans Pattern Anal Mach Intell 9(5):700–703, 1987CrossRef

Lee DJ, Krile TF, Mitra S: Digital registration techniques for sequential Fundus images. In IEEE Processing of SPIE: Applications of Digital Image Processing X 829:294–300, New York, SPIE 1987

Hiroshima K, Nishino J, Odaka T: Improved registration method for correcting local shifting on DSA images. Jpn Soc Med Imaging Technol 18(1):71–83, 2000

Brown LG: A survey of image registration techniques. ACM Comput Surv 24(4):124–145, 1992CrossRef

Funakami R, Hiroshima K, Nishino J: Successive approximation algorithm for cancellation of artifacts in DSA images. The Japanese Society of Medical Imaging Technology 18(3):199–206, 2000

Meijering EHW, Niessen WJ, Bakker J: Reduction of patient motion artifacts in digital subtraction angiography: evaluation of a fast and fully automatic technique. Radiology 219:288–293, 2001PubMed

Guthaner DF, Wexler L, Bradley B: Digital subtraction angiography of coronary grafts: optimization of technique. AJR Am J Roentgenol 145:1185–1190, 1985PubMed

10.

Katrisis D, Lythall DA, Cooper IC, Crowther A, Webb-Peploe MM: Assessment of coronary angioplasty: comparison of visual assessment, hand-held caliper measurement and automated digital quantitation. Catheter Cardiovasc Diagn 15:237–242, 1988CrossRef

11.

Katritsis D, Lythall DA, Anderson MH, Cooper IC, Webb-Peploe MM: Assessment of coronary angioplasty by an automated digital angiographic method. Am Heart J 116:1181–1187, 1988PubMedCrossRef

12.

Katrisis D, Webb-Peploe MM: Cardiac phase-related variability of border detection or densitometric quantitation of postangioplasty lumens. Am Heart J 120:537–543, 1990CrossRef

13.

Molloi S, Ersahin A, Tang J, Hicks J, Leung CY: Quantification of volumetric coronary blood flow with dual-energy digital subtraction angiography. Circulation 93:1919–1927, 1996PubMed

14.

Booth DC, Nissen S, DeMaria AN: Assessment of the severity of valvular regurgitation by digital subtraction angiography compared to cineangiography. Am Heart J 110:409–416, 1985PubMedCrossRef

15.

Myerowitz PD, Swanson DK, Turnipseed WD: Applications of digital subtraction angiography in cardiovascular diagnosis. Surg Clin North Am 65(3):423–437, 1985PubMed

16.

Hayashi N, Sakai T, Kitagawa M: Nonlinear geometric warping of the mask image: a new method for reducing misregistration artifacts in digital subtraction angiography. Cardiovasc Intervent Radiol 21(2):138–141, 1998PubMedCrossRef

17.

Dufresne TE, Sarwal A, Dhawan AP: A gray-level thinning method for delineation and representation of arteries. Comput Med Imaging Graph 18(5):343–355, 1994PubMedCrossRef

18.

Qian Y, Eiho S: Morphological method for automatic extraction of the coronary arteries. Japanese Society of Medical Imaging Technology 18(3):231–239, 2000

19.

Meaney TF, Weinstein MA, Buonocore E, Pavlicek W, Borkowski GP, Gallagher JH, Sufka B, Maclntyre WJ: Digital subtraction angiography of the human cardiovascular system. AJR Am J Roentgenol 135:1153–1160, 1980PubMed

20.

Myerowitz PD, Turnipseed WD, Swanson DK, Lysel MV, Peppler W, Mistretta C, Chopra PS, Berkoff H, Kroncke G, Hasegawa B, Steighorst M, Turski P, Crummy AB: Digital subtraction angiography as a method of screening for coronary artery disease during peripheral vascular angiography. Surgery 92(6):1042–1048, 1982PubMed

21.

Bellamy GR, Yiannikas J, Detrano R, Simpfendorfer C, Salcedo EE: Detection of multivessel disease after myocardial infarction using intravenous stress digital subtraction angiography. Radiology 161:685–689, 1986PubMed

22.

Bentoutou Y, Taleb N, Mezouar MCE, Taleb M, Jetto L: An invariant approach for image registration in digital subtraction angiography. Pattern Recognit 35:2853–2865, 2002CrossRef

23.

Bentoutou Y, Taleb N: A 3-D space-time motion detection for an invariant image registration approach in digital subtraction angiography. Comput Vis Image Underst 97:30–50, 2005CrossRef

24.

Meijering EH, Niessen WJ, Bakker J, Molen AJ, Kort GAP, Lo RTH, Mali WPTM, Viergever MA: Reduction of patient motion artifacts in digital subtraction angiography: evaluation of a fast and fully automatic technique. Radiology 219:288–293, 2001PubMed

25.

Sezan MI, Yip KL, Daly S: Uniform perceptual quantization: applications to digital radiography. IEEE Trans Syst Man Cybern 17(4):622–634, 1987CrossRef

26.

Ishida T, Ashizawa K, Engelmann R, et al: Application of temporal subtraction for detection of interval changes on chest radiographs: improvement of subtraction images using automated initial image matching. J Digit Imaging 12:77–88, 1999PubMedCrossRef

Title: Development of Digital Subtraction Angiography for Coronary Artery
Authors: Megumi Yamamoto
Yasuhiko Okura
Masaharu Ishihara
Masayuki Kagemoto
Kengo Harada
Takayuki Ishida
Publication date: 01-06-2009
Publisher: Springer-Verlag
Published in: Journal of Imaging Informatics in Medicine / Issue 3/2009
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI: https://doi.org/10.1007/s10278-008-9108-1

At a glance: The STEP trials

Springer Medicine

Development of Digital Subtraction Angiography for Coronary Artery

Abstract

At a glance: The STEP trials

Springer Medicine

Abstract

Please log in to get access to this content

Other articles of this Issue 3/2009

Spine Localization in X-ray Images Using Interest Point Detection

Should Radiology IT be Owned by the Chief Information Officer?

Shape Priors for Segmentation of the Cervix Region Within Uterine Cervix Images

From the Editor’s Desk

The Application of JPEG2000 in Virtual Microscopy

Silent Cerebral Infarct Transfusion (SIT) Trial Imaging Core: Application of Novel Imaging Information Technology for Rapid and Central Review of MRI of the Brain