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Published in: International Journal of Computer Assisted Radiology and Surgery 6/2019

01-06-2019 | Ultrasound | Original Article

Deformable multimodal registration for navigation in beating-heart cardiac surgery

Authors: Jacob J. Peoples, Gianluigi Bisleri, Randy E. Ellis

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 6/2019

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Abstract

Purpose:

Minimally invasive beating-heart surgery is currently performed using endoscopes and without navigation. Registration of intraoperative ultrasound to a preoperative cardiac CT scan is a valuable step toward image-guided navigation.

Methods:

The registration was achieved by first extracting a representative point set from each ultrasound image in the sequence using a deformable registration. A template shape representing the cardiac chambers was deformed through a hierarchy of affine transformations to match each ultrasound image using a generalized expectation maximization algorithm. These extracted point sets were matched to the CT by exhaustively searching over a large number of precomputed slices of 3D geometry. The result is a similarity transformation mapping the intraoperative ultrasound to preoperative CT.

Results:

Complete data sets were acquired for four patients. Transesophageal echocardiography ultrasound sequences were deformably registered to a model of oriented points with a mean error of 2.3 mm. Ultrasound and CT scans were registered to a mean of 3 mm, which is comparable to the error of 2.8 mm expected by merging ultrasound registration with uncertainty of cardiac CT.

Conclusion:

The proposed algorithm registered 3D CT with dynamic 2D intraoperative imaging. The algorithm aligned the images in both space and time, needing neither dynamic CT imaging nor intraoperative electrocardiograms. The accuracy was sufficient for navigation in thoracoscopically guided beating-heart surgery.
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Literature
1.
go back to reference Bisleri G, Rosati F, Bontempi L, Curnis A, Muneretto C (2013) Hybrid approach for the treatment of long-standing persistent atrial fibrillation: electrophysiological findings and clinical results. Eur J Cardiothorac Surg 44(5):919–923CrossRefPubMed Bisleri G, Rosati F, Bontempi L, Curnis A, Muneretto C (2013) Hybrid approach for the treatment of long-standing persistent atrial fibrillation: electrophysiological findings and clinical results. Eur J Cardiothorac Surg 44(5):919–923CrossRefPubMed
2.
go back to reference Muneretto C, Bisleri G, Bontempi L, Curnis A (2012) Durable staged hybrid ablation with thoracoscopic and percutaneous approach for treatment of long-standing atrial fibrillation: a 30-month assessment with continuous monitoring. J Thorac Cardiovasc Surg 144(6):1460–1465CrossRefPubMed Muneretto C, Bisleri G, Bontempi L, Curnis A (2012) Durable staged hybrid ablation with thoracoscopic and percutaneous approach for treatment of long-standing atrial fibrillation: a 30-month assessment with continuous monitoring. J Thorac Cardiovasc Surg 144(6):1460–1465CrossRefPubMed
3.
go back to reference Huang X, Moore J, Guiraudon G, Jones DL, Bainbridge D, Ren J, Peters TM (2009) Dynamic 2D ultrasound and 3D CT image registration of the beating heart. IEEE Trans Med Imaging 28(8):1179–1189CrossRefPubMed Huang X, Moore J, Guiraudon G, Jones DL, Bainbridge D, Ren J, Peters TM (2009) Dynamic 2D ultrasound and 3D CT image registration of the beating heart. IEEE Trans Med Imaging 28(8):1179–1189CrossRefPubMed
4.
go back to reference Luo Z, Cai J, Peters TM, Gu L (2013) Intra-operative 2-D ultrasound and dynamic 3-D aortic model registration for magnetic navigation of transcatheter aortic valve implantation. IEEE Trans Med Imaging 32(11):2152–2165CrossRefPubMed Luo Z, Cai J, Peters TM, Gu L (2013) Intra-operative 2-D ultrasound and dynamic 3-D aortic model registration for magnetic navigation of transcatheter aortic valve implantation. IEEE Trans Med Imaging 32(11):2152–2165CrossRefPubMed
5.
go back to reference Tavard F, Simon A, Leclercq C, Donal E, Hernndez AI, Garreau M (2014) Multimodal registration and data fusion for cardiac resynchronization therapy optimization. IEEE Trans Med Imaging 33(6):1363–1372CrossRefPubMed Tavard F, Simon A, Leclercq C, Donal E, Hernndez AI, Garreau M (2014) Multimodal registration and data fusion for cardiac resynchronization therapy optimization. IEEE Trans Med Imaging 33(6):1363–1372CrossRefPubMed
6.
go back to reference Li FP, Rajchl M, White JA, Goela A, Peters TM (2015) Ultrasound guidance for beating heart mitral valve repair augmented by synthetic dynamic CT. IEEE Trans Med Imaging 34(10):2025–2035CrossRefPubMed Li FP, Rajchl M, White JA, Goela A, Peters TM (2015) Ultrasound guidance for beating heart mitral valve repair augmented by synthetic dynamic CT. IEEE Trans Med Imaging 34(10):2025–2035CrossRefPubMed
7.
go back to reference Khalil A, Faisal A, Lai KW, Ng SC, Liew YM (2017) 2D to 3D fusion of echocardiography and cardiac CT for TAVR and TAVI image guidance. Med Biol Eng Comput 55(8):1317–1326CrossRefPubMed Khalil A, Faisal A, Lai KW, Ng SC, Liew YM (2017) 2D to 3D fusion of echocardiography and cardiac CT for TAVR and TAVI image guidance. Med Biol Eng Comput 55(8):1317–1326CrossRefPubMed
8.
go back to reference Sandoval Z, Castro M, Alirezaie J, Bessire F, Lafon C, Dillenseger JL (2018) Transesophageal 2D ultrasound to 3D computed tomography registration for the guidance of a cardiac arrhythmia therapy. Phys Med Biol 63(15):155007CrossRefPubMed Sandoval Z, Castro M, Alirezaie J, Bessire F, Lafon C, Dillenseger JL (2018) Transesophageal 2D ultrasound to 3D computed tomography registration for the guidance of a cardiac arrhythmia therapy. Phys Med Biol 63(15):155007CrossRefPubMed
9.
go back to reference Tavakoli V, Amini AA (2013) A survey of shaped-based registration and segmentation techniques for cardiac images. Comput Vis Image Underst 117(9):966–989CrossRef Tavakoli V, Amini AA (2013) A survey of shaped-based registration and segmentation techniques for cardiac images. Comput Vis Image Underst 117(9):966–989CrossRef
10.
go back to reference Ravikumar N, Gooya A, Frangi AF, Taylor ZA (2017) Generalised coherent point drift for group-wise registration of multi-dimensional point sets. In: Descoteaux M, Maier-Hein L, Franz A, Jannin P, Collins DL, Duchesne S (eds) Medical image computing and computer-assisted intervention, vol 10433. LNCS. Springer, Cham, pp 309–316 Ravikumar N, Gooya A, Frangi AF, Taylor ZA (2017) Generalised coherent point drift for group-wise registration of multi-dimensional point sets. In: Descoteaux M, Maier-Hein L, Franz A, Jannin P, Collins DL, Duchesne S (eds) Medical image computing and computer-assisted intervention, vol 10433. LNCS. Springer, Cham, pp 309–316
11.
go back to reference Min Z, Wang J, Meng MQH (2018) Robust generalized point cloud registration using hybrid mixture model. In: IEEE Int Conf Robot Autom, pp 4812–4818 Min Z, Wang J, Meng MQH (2018) Robust generalized point cloud registration using hybrid mixture model. In: IEEE Int Conf Robot Autom, pp 4812–4818
12.
go back to reference Besl PJ, McKay ND (1992) A method for registration of 3-D shapes. IEEE Trans Pattern Anal Mach Intell 14(2):239–256CrossRef Besl PJ, McKay ND (1992) A method for registration of 3-D shapes. IEEE Trans Pattern Anal Mach Intell 14(2):239–256CrossRef
13.
go back to reference Ferrante E, Paragios N (2017) Slice-to-volume medical image registration: a survey. Med Image Anal 39:101–123CrossRefPubMed Ferrante E, Paragios N (2017) Slice-to-volume medical image registration: a survey. Med Image Anal 39:101–123CrossRefPubMed
14.
go back to reference Ferrante E, Paragios N (2013) Non-rigid 2D–3D medical image registration using Markov random fields. In: Mori K, Sakuma I, Sato Y, Barillot C, Navab N (eds) Medical image computing and computer-assisted intervention, vol 8151. LNCS. Springer, Heidelberg, pp 163–170 Ferrante E, Paragios N (2013) Non-rigid 2D–3D medical image registration using Markov random fields. In: Mori K, Sakuma I, Sato Y, Barillot C, Navab N (eds) Medical image computing and computer-assisted intervention, vol 8151. LNCS. Springer, Heidelberg, pp 163–170
15.
go back to reference Ferrante E, Fecamp V, Paragios N (2015) Slice-to-volume deformable registration: efficient one-shot consensus between plane selection and in-plane deformation. Int J Comput Assist Radiol Surg 10(6):791–800CrossRefPubMed Ferrante E, Fecamp V, Paragios N (2015) Slice-to-volume deformable registration: efficient one-shot consensus between plane selection and in-plane deformation. Int J Comput Assist Radiol Surg 10(6):791–800CrossRefPubMed
16.
go back to reference Ferrante E, Fecamp V, Paragios N (2015) Implicit planar and in-plane deformable mapping in medical images through high order graphs. In: Proc IEEE Int Symp Biomed Imaging, pp 721–724 Ferrante E, Fecamp V, Paragios N (2015) Implicit planar and in-plane deformable mapping in medical images through high order graphs. In: Proc IEEE Int Symp Biomed Imaging, pp 721–724
17.
go back to reference Ferrante E, Paragios N (2018) Graph-based slice-to-volume deformable registration. Int J Comput Vis 126(1):36–58CrossRef Ferrante E, Paragios N (2018) Graph-based slice-to-volume deformable registration. Int J Comput Vis 126(1):36–58CrossRef
18.
go back to reference Zikic D, Glocker B, Kutter O, Groher M, Komodakis N, Kamen A, Paragios N, Navab N (2010) Linear intensity-based image registration by Markov random fields and discrete optimization. Med Image Anal 14(4):550–562CrossRefPubMed Zikic D, Glocker B, Kutter O, Groher M, Komodakis N, Kamen A, Paragios N, Navab N (2010) Linear intensity-based image registration by Markov random fields and discrete optimization. Med Image Anal 14(4):550–562CrossRefPubMed
19.
go back to reference Porchetto R, Stramana F, Paragios N, Ferrante E (2017) Rigid slice-to-volume medical image registration through Markov random fields. Med Comput Vis Bayesian Graph Models Biomed Imaging 2016:172–185CrossRef Porchetto R, Stramana F, Paragios N, Ferrante E (2017) Rigid slice-to-volume medical image registration through Markov random fields. Med Comput Vis Bayesian Graph Models Biomed Imaging 2016:172–185CrossRef
20.
go back to reference Dempster AP, Laird NM, Rubin DB (1977) Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc Series B Methodol 39(1):1–38 Dempster AP, Laird NM, Rubin DB (1977) Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc Series B Methodol 39(1):1–38
21.
go back to reference Maiseli B, Gu Y, Gao H (2017) Recent developments and trends in point set registration methods. J Vis Commun Image Represent 46(C):95–106CrossRef Maiseli B, Gu Y, Gao H (2017) Recent developments and trends in point set registration methods. J Vis Commun Image Represent 46(C):95–106CrossRef
22.
go back to reference Meng XL, Rubin DB (1993) Maximum likelihood estimation via the ECM algorithm: a general framework. Biometrika 80(2):267–278CrossRef Meng XL, Rubin DB (1993) Maximum likelihood estimation via the ECM algorithm: a general framework. Biometrika 80(2):267–278CrossRef
23.
go back to reference Sra S (2012) A short note on parameter approximation for von Mises–Fisher distributions: and a fast implementation of \(I_s(x)\). Comput Stat 27(1):177–190CrossRef Sra S (2012) A short note on parameter approximation for von Mises–Fisher distributions: and a fast implementation of \(I_s(x)\). Comput Stat 27(1):177–190CrossRef
24.
go back to reference Horaud R, Forbes F, Yguel M, Dewaele G, Zhang J (2011) Rigid and articulated point registration with expectation conditional maximization. IEEE Trans Pattern Anal Mach Intell 33(3):587–602CrossRefPubMed Horaud R, Forbes F, Yguel M, Dewaele G, Zhang J (2011) Rigid and articulated point registration with expectation conditional maximization. IEEE Trans Pattern Anal Mach Intell 33(3):587–602CrossRefPubMed
25.
go back to reference Buechel RR, Husmann L, Herzog BA, Pazhenkottil AP, Nkoulou R, Ghadri JR, Treyer V, von Schulthess P, Kaufmann PA (2011) Low-dose computed tomography coronary angiography with prospective electrocardiogram triggering: feasibility in a large population. J Am Coll Cardiol 57(3):332–336CrossRefPubMed Buechel RR, Husmann L, Herzog BA, Pazhenkottil AP, Nkoulou R, Ghadri JR, Treyer V, von Schulthess P, Kaufmann PA (2011) Low-dose computed tomography coronary angiography with prospective electrocardiogram triggering: feasibility in a large population. J Am Coll Cardiol 57(3):332–336CrossRefPubMed
26.
go back to reference Boersma LV, Castella M, van Boven W, Berruezo A, Yilmaz A, Nadal M, Sandoval E, Calvo N, Brugada J, Kelder J, Wijffels M, Mont L (2012) Atrial fibrillation catheter ablation versus surgical ablation treatment (fast): a 2-center randomized clinical trial. Circulation 125(1):23–30CrossRefPubMed Boersma LV, Castella M, van Boven W, Berruezo A, Yilmaz A, Nadal M, Sandoval E, Calvo N, Brugada J, Kelder J, Wijffels M, Mont L (2012) Atrial fibrillation catheter ablation versus surgical ablation treatment (fast): a 2-center randomized clinical trial. Circulation 125(1):23–30CrossRefPubMed
27.
go back to reference Khoynezhad A, Ellenbogen KA, Al-Atassi T, Wang PJ, Kasirajan V, Wang X, Edgerton JR (2017) Hybrid atrial fibrillation ablation: current status and a look ahead. Circ Arrhythm Electrophysiol 10(10):e005263CrossRefPubMed Khoynezhad A, Ellenbogen KA, Al-Atassi T, Wang PJ, Kasirajan V, Wang X, Edgerton JR (2017) Hybrid atrial fibrillation ablation: current status and a look ahead. Circ Arrhythm Electrophysiol 10(10):e005263CrossRefPubMed
28.
go back to reference Jacob G, Noble JA, Behrenbruch C, Kelion AD, Banning AP (2002) A shape-space-based approach to tracking myocardial borders and quantifying regional left-ventricular function applied in echocardiography. IEEE Trans Med Imaging 21(3):226–238CrossRefPubMed Jacob G, Noble JA, Behrenbruch C, Kelion AD, Banning AP (2002) A shape-space-based approach to tracking myocardial borders and quantifying regional left-ventricular function applied in echocardiography. IEEE Trans Med Imaging 21(3):226–238CrossRefPubMed
29.
go back to reference Billings S, Taylor R (2015) Generalized iterative most likely oriented-point (G-IMLOP) registration. Int J Comput Assist Radiol Surg 10:1213–1226CrossRefPubMed Billings S, Taylor R (2015) Generalized iterative most likely oriented-point (G-IMLOP) registration. Int J Comput Assist Radiol Surg 10:1213–1226CrossRefPubMed
30.
go back to reference Serafin J, Grisetti G (2015) NICP: dense normal based point cloud registration. Rep U S, pp 742–749 Serafin J, Grisetti G (2015) NICP: dense normal based point cloud registration. Rep U S, pp 742–749
31.
go back to reference Baka N, Metz CT, Schultz CJ, van Geuns R, Niessen WJ, van Walsum T (2014) Oriented Gaussian mixture models for nonrigid 2D/3D coronary artery registration. IEEE Trans Med Imaging 33(5):1023–1034CrossRefPubMed Baka N, Metz CT, Schultz CJ, van Geuns R, Niessen WJ, van Walsum T (2014) Oriented Gaussian mixture models for nonrigid 2D/3D coronary artery registration. IEEE Trans Med Imaging 33(5):1023–1034CrossRefPubMed
32.
go back to reference Neal RM, Hinton GE (1998) A view of the EM algorithm that justifies incremental, sparse, and other variants. In: Jordan MI (ed) Learning in graphical models. Springer, Dordrecht, pp 355–368CrossRef Neal RM, Hinton GE (1998) A view of the EM algorithm that justifies incremental, sparse, and other variants. In: Jordan MI (ed) Learning in graphical models. Springer, Dordrecht, pp 355–368CrossRef
33.
go back to reference Granger S, Pennec X (2002) Multi-scale EM-ICP: a fast and robust approach for surface registration. Comput Vis ECCV, pp 418–432 Granger S, Pennec X (2002) Multi-scale EM-ICP: a fast and robust approach for surface registration. Comput Vis ECCV, pp 418–432
34.
go back to reference Bernard F, Salamanca L, Thunberg J, Tack A, Jentsch D, Lamecker H, Zachow S, Hertel F, Goncalves J, Gemmar P (2017) Shape-aware surface reconstruction from sparse 3D point-clouds. Med Image Anal 38:77–89CrossRefPubMed Bernard F, Salamanca L, Thunberg J, Tack A, Jentsch D, Lamecker H, Zachow S, Hertel F, Goncalves J, Gemmar P (2017) Shape-aware surface reconstruction from sparse 3D point-clouds. Med Image Anal 38:77–89CrossRefPubMed
35.
go back to reference Zhou Z, Zheng J, Dai Y, Zhou Z, Chen S (2014) Robust non-rigid point set registration using Student’s-t mixture model. PLoS One 9(3):1–11 Zhou Z, Zheng J, Dai Y, Zhou Z, Chen S (2014) Robust non-rigid point set registration using Student’s-t mixture model. PLoS One 9(3):1–11
36.
go back to reference Ravikumar N, Gooya A, Çimen S, Frangi AF, Taylor ZA (2018) Group-wise similarity registration of point sets using Student’s t-mixture model for statistical shape models. Med Image Anal 44:156–176 Ravikumar N, Gooya A, Çimen S, Frangi AF, Taylor ZA (2018) Group-wise similarity registration of point sets using Student’s t-mixture model for statistical shape models. Med Image Anal 44:156–176
37.
go back to reference Lowe DG (1999) Object recognition from local scale-invariant features. In: Proc IEEE Int Conf Comput Vis, vol 2, pp 1150–1157 Lowe DG (1999) Object recognition from local scale-invariant features. In: Proc IEEE Int Conf Comput Vis, vol 2, pp 1150–1157
38.
go back to reference Bay H, Ess A, Tuytelaars T, Gool LV (2008) Speeded-up robust features (surf). Comput Vis Image Underst 110(3):346–359CrossRef Bay H, Ess A, Tuytelaars T, Gool LV (2008) Speeded-up robust features (surf). Comput Vis Image Underst 110(3):346–359CrossRef
39.
go back to reference Toews M, Wells WM III (2013) Efficient and robust model-to-image alignment using 3D scale-invariant features. Med Image Anal 17(3):271–282CrossRefPubMed Toews M, Wells WM III (2013) Efficient and robust model-to-image alignment using 3D scale-invariant features. Med Image Anal 17(3):271–282CrossRefPubMed
40.
go back to reference Toews M, Wells WM III (2018) Phantomless auto-calibration and online calibration assessment for a tracked freehand 2-D ultrasound probe. IEEE Trans Med Imaging 37(1):262–272CrossRefPubMed Toews M, Wells WM III (2018) Phantomless auto-calibration and online calibration assessment for a tracked freehand 2-D ultrasound probe. IEEE Trans Med Imaging 37(1):262–272CrossRefPubMed
41.
go back to reference Machado I, Toews M, Luo J, Unadkat P, Essayed W, George E, Teodoro P, Carvalho H, Martins J, Golland P, Pieper S, Frisken S, Golby A, Wells W III (2018) Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching. Int J Comput Assist Radiol Surg 13(10):1525–1538CrossRefPubMed Machado I, Toews M, Luo J, Unadkat P, Essayed W, George E, Teodoro P, Carvalho H, Martins J, Golland P, Pieper S, Frisken S, Golby A, Wells W III (2018) Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching. Int J Comput Assist Radiol Surg 13(10):1525–1538CrossRefPubMed
42.
go back to reference Bersvendsen J, Toews M, Danudibroto A, Wells III WM, Urheim S, Estépar RSJ, Samset E (2016) Robust spatio-temporal registration of 4D cardiac ultrasound sequences. Proc SPIE Int Soc Opt Eng Bersvendsen J, Toews M, Danudibroto A, Wells III WM, Urheim S, Estépar RSJ, Samset E (2016) Robust spatio-temporal registration of 4D cardiac ultrasound sequences. Proc SPIE Int Soc Opt Eng
43.
go back to reference Lasowski R, Benhimane S, Vogel J, Jakobs TF, Zech CJ, Trumm C, Clason C, Navab N (2008) Adaptive visualization for needle guidance in RF liver ablation: taking organ deformation into account. Proc SPIE Int Soc Opt Eng 6918:69180A Lasowski R, Benhimane S, Vogel J, Jakobs TF, Zech CJ, Trumm C, Clason C, Navab N (2008) Adaptive visualization for needle guidance in RF liver ablation: taking organ deformation into account. Proc SPIE Int Soc Opt Eng 6918:69180A
Metadata
Title
Deformable multimodal registration for navigation in beating-heart cardiac surgery
Authors
Jacob J. Peoples
Gianluigi Bisleri
Randy E. Ellis
Publication date
01-06-2019
Publisher
Springer International Publishing
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 6/2019
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-019-01932-2

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