Efficient automatic 2D/3D registration of cardiac ultrasound and CT images

References

• Belaid A, Boukerroui D, Maingourd Y, Lerallut JF. 2010. Phase-based level set segmentation of ultrasound images. IEEE Trans Inf Technol Biomed. 15(1):138–147. doi:10.1109/TITB.2010.2090889.
   Google Scholar
• Besl PJ, McKay ND. 1992. A method for registration of 3-D shapes. IEEE Trans Pattern Anal Mach Intell. 14(2):239–256. doi:10.1109/34.121791.
   Google Scholar
• 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):919–923. doi:10.1093/ejcts/ezt115.
   Google Scholar
• Boersma LV, Castella M, van Boven W, Berruezo A, Yilmaz A, Nadal M, Sandoval E, Calvo N, Brugada J, Kelder J, et al. 2012. Atrial fibrillation catheter ablation versus surgical ablation treatment (FAST): A 2-center randomized clinical trial. Circulation. 125(1):23–30. doi:10.1161/CIRCULATIONAHA.111.074047.
   Google Scholar
• Carneiro G, Nascimento JC, Freitas A. 2011. The segmentation of the left ventricle of the heart from ultrasound data using deep learning architectures and derivative-based search methods. IEEE Trans Image Process. 21(3):968–982. doi:10.1109/TIP.2011.2169273.
   Google Scholar
• Chen C, Qin C, Qiu H, Tarroni G, Duan J, Bai W, Rueckert D. 2020. Deep learning for cardiac image segmentation: A review. Front Cardiovasc Med. 7:25.
   Google Scholar
• Chugh SS, Havmoeller R, Narayanan K, Singh D, Rienstra M, Benjamin EJ, Gillum RF, Kim YH, McAnulty JH, Zheng ZJ, et al. 2014. Worldwide epidemiology of atrial fibrillation. Circulation. 129(8):837–847. doi:10.1161/CIRCULATIONAHA.113.005119.
   Google Scholar
• 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):1179–1189. doi:10.1109/TMI.2008.2011557.
   Google Scholar
• 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):1317–1326. doi:10.1007/s11517-016-1594-6.
   Google Scholar
• 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):e005263. doi:10.1161/CIRCEP.117.005263.
   Google Scholar
• Leclerc S, Smistad E, Grenier T, Lartizien C, Ostvik A, Espinosa F, Jodoin P, Lovstakken L, Bernard O. 2018. Deep learning applied to multi-structure segmentation in 2D echocardiography: A preliminary investigation of the required database size. In: 2018 IEEE International Ultrasonics Symposium (IUS), Kobe, Japan.
   Google Scholar
• Leclerc S, Smistad E, Pedrosa J, Østvik A, Cervenansky F, Espinosa F, Espeland T, Berg EAR, Jodoin P, Grenier T, et al. 2019. Deep learning for segmentation using an open large-scale dataset in 2D echocardiography. IEEE Trans Med Imaging. 38(9):2198–2210. doi:10.1109/TMI.2019.2900516.
   Google Scholar
• 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):2025–2035. doi:10.1109/TMI.2015.2412465.
   Google Scholar
• 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):2152–2165. doi:10.1109/TMI.2013.2275233.
   Google Scholar
• Mazaheri S, Wirza R, Sulaiman PS, Dimon MZ, Khalid F, Tayebi RM. 2015. Segmentation methods of echocardiography images for left ventricle boundary detection. J Comput Sci. 11(9):957–970. doi:10.3844/jcssp.2015.957.970.
   Google Scholar
• Myronenko A, Song X. 2010. Point set registration: coherent point drift. IEEE Trans Pattern Anal Mach Intell. 32(12):2262–2275. doi:10.1109/TPAMI.2010.46.
   Google Scholar
• Peoples JJ, Bisleri G, Ellis RE. 2019. Deformable multimodal registration for navigation in beating-heart cardiac surgery. Int J Comput Assist Radiol Surg. 14(6):955–966.
   Google Scholar
• Phan K, Phan S, Thiagalingam A, Medi C, Yan TD. 2016. Thoracoscopic surgical ablation versus catheter ablation for atrial fibrillation. Eur J Cardiothorac Surg. 49(4):1044–1051. doi:10.1093/ejcts/ezv180.
   Google Scholar
• Sandoval Z, Castro M, Alirezaie J, Bessière 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):155007. doi:10.1088/1361-6560/aad29a.
   Google Scholar
• Sarti A, Corsi C, Mazzini E, Lamberti C. 2005. Maximum likelihood segmentation of ultrasound images with rayleigh distribution. IEEE Trans Ultrason Ferroelectr Freq Control. 52(6):947–960. doi:10.1109/TUFFC.2005.1504017.
   Google Scholar
• Smistad E, Østvik A, Haugen BO, Løvstakken L. 2017. 2D left ventricle segmentation using deep learning. In: 2017 IEEE International Ultrasonics Symposium (IUS), Washington, DC.
   Google Scholar
• Tam GKL, Cheng ZQ, Lai YK, Langbein FC, Liu Y, Marshall D, Martin RR, Sun XF, Rosin PL. 2013. Registration of 3D point clouds and meshes: A survey from rigid to nonrigid. IEEE Trans Vis Comput Graph. 19(7):1199–1217. doi:10.1109/TVCG.2012.310.
   Google Scholar
• Tavakoli V, Amini AA. 2013. A survey of shaped-based registration and segmentation techniques for cardiac images. Comput Vis Image Underst. 117(9):966–989. doi:10.1016/j.cviu.2012.11.017.
   Google Scholar
• Tavard F, Simon A, Leclercq C, Donal E, Hernández AI, Garreau M. 2014. Multimodal registration and data fusion for cardiac resynchronization therapy optimization. IEEE Trans Med Imaging. 33(6):1363–1372. doi:10.1109/TMI.2014.2311694.
   Google Scholar
• Xu J, Luc JG, Phan K. 2016. Atrial fibrillation: review of current treatment strategies. J Thorac Dis. 8(9):E886–E900. doi:10.21037/jtd.2016.09.13.
   Google Scholar
• Zhou SK. 2010. Shape regression machine and efficient segmentation of left ventricle endocardium from 2d b-mode echocardiogram. Med Image Anal. 14(4):563–581. doi:10.1016/j.media.2010.04.002.
   Google Scholar