Registration-by-regression of coronary CTA and X-ray angiography

References

• Aksoy T, Unal G, Demirci S, Navab N, Degertekin M. 2013. Template-based CTA to X-ray angio rigid registration of coronary arteries in frequency domain with automatic X-ray segmentation. Med Phys. 40(10):101903. doi:10.1118/1.4819938.
   PubMed Web of Science ®Google Scholar
• Baka N, Metz CT, Schultz C, Neefjes L, van Geuns RJ, Lelieveldt BPF, Niessen WJ, van Walsum T, de Bruijne M. 2013. Statistical coronary motion models for 2D+t/3D registration of X-ray coronary angiography and CTA. Med Image Anal. 17(6):698–709. doi:10.1016/j.media.2013.03.003.
   PubMed Web of Science ®Google Scholar
• Baka N, Metz CT, Schultz CJ, van Geuns R-J, Niessen WJ, van Walsum T. 2014. Oriented Gaussian mixture models for nonrigid 2D/3D coronary artery registration. IEEE Trans Med Imaging. 33(5):1023–1034. doi:10.1109/TMI.2014.2300117.
   PubMed Web of Science ®Google Scholar
• Bullitt E, Liu A, Aylward SR, Coffey C, Stone J, Mukherji SK, Muller KE, Pizer SM. 1999. Registration of 3D cerebral vessels with 2D digital angiograms: clinical evaluation. Acad Radiol. 6(9):539–546. doi:10.1016/S1076-6332(99)80432-2.
   PubMed Web of Science ®Google Scholar
• Chou C-R, Frederick B, Mageras G, Chang S, Pizer S. 2013. 2D/3D image registration using regression learning. Comput Vis Image Underst. 117(9):1095–1106. doi:10.1016/j.cviu.2013.02.009.
   PubMed Web of Science ®Google Scholar
• Chou C-R, Pizer S. 2013. Real-time 2D/3D deformable registration using metric learning. In: Menze B, Langs G, Lu L, Montillo A, Tu Z, Criminisi A, editors. Med Comput Vision Recogn Tech Appl Med Imaging. Lecture Notes in Computer Science, 7766. p. 1–10.
   Google Scholar
• Fitzpatrick JM. 2001. Detecting failure, assessing success. In: Hajnal J V, Hawkes DJ, Hill DLG, editors. Medical image registration, Biomedical engineering series. CRC Press LLC. https://www.crcpress.com/product/isbn/9780849300646.
   Google Scholar
• Fitzpatrick JM, West JB. 2001. The distribution of target registration error in rigid-body point-based registration. IEEE Trans Med Imaging. 20(9):917–927. doi:10.1109/42.952729.
   PubMed Web of Science ®Google Scholar
• Frangi AF, Niessen WJ, Vincken KL, Viergever MA. 1998. Multiscale vessel enhancement filtering. In: Wells WM, Colchester A, Delp SL, editors. Med Image Comput Comput Interv – MICCAI'98. Lecture Notes in Computer Science, 1496. p. 130–137. Springer: Berlin Heidelberg. http://link.springer.com/chapter/10.1007/BFb0056195.
   Google Scholar
• Gonzalez RC, Woods RE. 2008. Digital image processing. 3rd ed. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Gouveia AR, Metz C, Freire L, Klein S. 2012a. 3D–2D image registration by nonlinear regression. In: 2012 9th IEEE Int Symp Biomed Imaging. p. 1343–1346.
   Google Scholar
• Gouveia AR, Metz C, Freire L, Klein S. 2012b. Comparative evaluation of regression methods for 3D–2D image registration. In: Villa AE, Duch W, Érdi P, Masulli F, Palm G, editors. Artif Neural Networks Mach Learn – ICANN. 7553 Springer Berlin Heidelberg; p. 238–245.
   Google Scholar
• Hawkes DJ. 2001. Registration methodology: introduction. In: Hajnal J V, Hawkes DJ, Hill DLG, editors. Med image Regist Biomed Eng Ser. CRC Press LLC.
   Google Scholar
• Haykin S. 1999. Neural networks: a comprehensive foundation. 2nd. ed. Delhi: Prentice hall.
   Google Scholar
• Hoff WA, Komistek RD, Dennis DA, Gabriel SM, Walker SA. 1998. Three-dimensional determination of femoral-tibial contact positions under in vivo conditions using fluoroscopy. Clin Biomech. 13(7):455–472. doi:10.1016/S0268-0033(98)00009-6.
   PubMed Web of Science ®Google Scholar
• Imamura H, Ida N, Sugimoto N. 2002. Registration of preoperative CTA and intraoperative fluoroscopic images for assisting aortic stent grafting. In: Dohi T, Kikinis R, editors. Med Image Comput Comput Interv–MICCAI. Lecture Notes in Computer Science, 2489. p. 477–484.
   Google Scholar
• Jannin P, Fitzpatrick JM, Hawkes DJ, Pennec X, Shahidl R, Vannier MW. 2002. Validation of medical image processing in image-guided therapy. IEEE Trans Med Imaging. 21(12):1445–1449. doi:10.1109/TMI.2002.806568.
   PubMed Web of Science ®Google Scholar
• Kasper DL, Braunwald E, Fauci AS, Hauser SL, Longo DL, Jameson JL. 2005. Harrison's principles of internal medicine. 2nd ed. New York: McGraw-Hill.
   Google Scholar
• Liao SX. 1993. On image analysis by moments. Canada. Available from: http://zernike.uwinnipeg.ca/∼s_liao/pdf/thesis.pdf University of Manitoba.
   Google Scholar
• Luca V De, Tanner C, Székely G. 2012. Speeding-up image registration for repetitive motion scenarios. In: Biomed Imaging (ISBI), 9th IEEE International Symposium. p. 1355–1358.
   Google Scholar
• Markelj P, TomaževiČ D, Likar B, Pernuš F. 2012. A review of 3D/2D registration methods for image-guided interventions. Med Image Anal. 16:642–661.
   PubMed Web of Science ®Google Scholar
• Metz CT. 2011. Coronary motion modeling for CTA to X-ray angiography registration. Erasmus University Rotterdam. Available from: http://hdl.handle.net/1765/23756.
   Google Scholar
• Metz CT, Schaap M, Klein S, Baka N, Neefjes LA, Schultz CJ, Niessen WJ, van Walsum T. 2013. Registration of 3D+t coronary CTA and monoplane 2D+t X-ray angiography. IEEE Trans Med Imaging. 32:919–931.
   PubMed Web of Science ®Google Scholar
• Metz CT, Schaap M, Klein S, Neefjes LA, Capuano E, Schultz C, van Geuns RJ, Serruys PW, van Walsum T, Niessen WJ. 2009. Patient specific 4D coronary models from ECG-gated CTA data for intra-operative dynamic alignment of CTA with X-ray images. In: Med Image Comput Comput Assist Interv. 12. p. 369–376.
   Google Scholar
• Metz CT, Schaap M, Klein S, Rijnbeek P, Neefjes L, Mollet N, Schultz C, Serruys P, Niessen W, Van Walsum T. Alignment of 4D coronary CTA with monoplane X-ray angiography. 6th Int Work AE-CAI (Augment Environ Comput Interv Held Conjunction with MICCAI 2011., p. 106–116.
   Google Scholar
• Metz CT, Schaap M, Klein S, Weustink AC, Mollet NR, Schultz C, van Geuns RJ, Serruys PW, van Walsum T, Niessen WJ. 2009. GPU accelerated alignment of 3-D CTA with 2-D X-ray data for improved guidance in coronary interventions. In: 2009 IEEE Int Symp Biomed Imaging From Nano to Macro. p. 959–962.
   Google Scholar
• Metz CT, Schaap M, Weustink AC, Mollet NR, van Walsum T, Niessen WJ. 2009. Coronary centerline extraction from CT coronary angiography images using a minimum cost path approach. Med Phys. 36(12):5568. doi:10.1118/1.3254077.
   PubMed Web of Science ®Google Scholar
• Penney GP, Weese J, Little JA, Desmedt P, Hill DL, Hawkes DJ. 1998. A comparison of similarity measures for use in 2-D–3-D medical image registration. IEEE Trans Med Imaging. 17(4):586–595. doi:10.1109/42.730403.
   PubMed Web of Science ®Google Scholar
• Ramcharitar S, Patterson MS, van Geuns RJ, van Meighem C, Serruys PW. 2008. Technology insight: magnetic navigation in coronary interventions. Nat Clin Pract Cardiovasc Med. 5(3):148–156. doi:10.1038/ncpcardio1095.
   PubMedGoogle Scholar
• Ramcharitar S, van der Giessen WJ, van der Ent M, Serruys PW, van Geuns RJ. 2011. Randomized comparison of the magnetic navigation system vs. standard wires in the treatment of bifurcations. Eur Heart J. 32(12):1479–1483. doi:10.1093/eurheartj/ehq123.
   PubMed Web of Science ®Google Scholar
• Rivest-Hénault D, Sundar H, Cheriet M. 2012. Nonrigid 2D/3D registration of coronary artery models with live fluoroscopy for guidance of cardiac interventions. IEEE Trans Med Imaging. 31:1557–1572.
   PubMed Web of Science ®Google Scholar
• Ruijters D, ter Haar Romeny BM, Suetens P. 2009. Vesselness-based 2D–3D registration of the coronary arteries. Int J Comput Assist Radiol Surg. 4(4):391–397. doi:10.1007/s11548-009-0316-z.
   PubMed Web of Science ®Google Scholar
• Schneider M, Sundar H. 2010. Automatic global vessel segmentation and catheter removal using local geometry information and vector field integration. In: 2010 IEEE Int Symp Biomed Imaging From Nano to Macro. p. 45–48.
   Google Scholar
• Serruys PW. 2006. Fourth annual American College of Cardiology international lecture: a journey in the interventional field. J Am Coll Cardiol. 47:1754–1768.
   PubMed Web of Science ®Google Scholar
• Shlens J. 2005. Tutorial on principal component analysis. Measurement. Available from: http://www.cs.cmu.edu/∼elaw/papers/pca.pdf.
   Google Scholar
• Soon KH, Selvanayagam JB, Cox N, Kelly A-M, Bell KW, Lim YL. 2007. Percutaneous revascularization of chronic total occlusions: review of the role of invasive and non-invasive imaging modalities. Int J Cardiol. 116(1):1–6. doi:10.1016/j.ijcard.2006.03.023.
   PubMed Web of Science ®Google Scholar
• Turgeon G-A, Lehmann G, Guiraudon G, Drangova M, Holdsworth D, Peters T. 2005. 2D–3D registration of coronary angiograms for cardiac procedure planning and guidance. Med Phys. 32(12):3737. doi:10.1118/1.2123350.
   PubMed Web of Science ®Google Scholar
• Van de Kraats EB. 2005. 3D rotational X-ray guidance for surgical interventions: Utrecht University. Available from: http://dspace.library.uu.nl/handle/1874/3054.
   Google Scholar
• Van De Kraats EB, Penney GP, TomaževiČ D, Van Walsum T. 2005. Standardized evaluation methodology for 2-D–3-D registration. IEEE Trans Med Imaging. 24(9):1177–1189. doi:10.1109/TMI.2005.853240.
   PubMed Web of Science ®Google Scholar
• Van de Kraats EB, van Walsum T, Verlaan J-J, Voormolen MHJ, Mali WPTM, Niessen WJ. 2006. Three-dimensional rotational X-ray navigation for needle guidance in percutaneous vertebroplasty: an accuracy study. Spine (Phila Pa 1976). 31(12):1359–1364. doi:10.1097/01.brs.0000218580.54036.1b.
   PubMed Web of Science ®Google Scholar