Deformable registration of 3D vessel structures to a single projection image

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6914, Issue , 2008, Pages

  Zikic, Darko ^a   Groher, Martin ^a   Khamene, Ali ^b   Navab, Nassir ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

Angiography; Registration

Indexed keywords

ANGIOGRAPHY; DEFORMATION; DEPTH PERCEPTION; OPTIMIZATION; PROBLEM SOLVING; THREE DIMENSIONAL;

RIGID TRANSFORMATION; VESSEL STRUCTURES;

IMAGE REGISTRATION;

EID: 43449123348     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.770575     Document Type: Conference Paper

References (19)

1. S. Aylward and J. Jomier, "Rigid and deformable vasculature-to-image registration: A hierarchical approach," in MICCAI, Lecture Notes in Computer Science 3218, pp. 829-836, Springer, 2004.
2. A. Charnoz, V. Agnus, G. Malandain, C. Forest, M. Tajine, and L. Soler, "Liver registration for the follow-up of hepatic tumors," in MICCAI, Lecture Notes in Computer Science 3750, pp. 155-162, Springer, 2005.
3. von Siebenthal, M., Szkely, G., Gamper, U., Boesiger, P., Lomax, A., Cattin, and Ph., "4d mr imaging of respiratory organ motion and its variability" Phys. Med. Biol. 52, pp. 1547-1564, February 2007.
4. J. Weickert and C. Schnörr, "A theoretical framework for convex regularizers in pde-based computation of image motion," International Journal of Computer Vision 45(3), pp. 245-264, 2001.
5. J. Feldmar, N. Ayache, and F. Betting, "3D-2D projective registration of free-form curves and surfaces," in Proc. Int'l Conf. of Computer Vision (ICCV), 20-23, pp. 549-556, IEEE, 1995.
6. J. Hipwell, G. Penney, R. McLaughlin, K. Rhode, P. Summers, T. Cox, J. Byrne, J. Noble, and D. Hawkes, "Intensity based 2D-3D registration of cerebral angiograms," IEEE Trans. on Medical Imaging (TMI) 22, pp. 1417-1426, 2003.
7. H. Chan, A. Chung, S. Yu, and W. Wells, "2D-3D vascular registration between digital subtraction angiographic (DSA) and magnetic resonance angiographic (MRA) images," in Proc. of the IEEE International Symposium on Biomedical Imaging, Lecture Notes in Computer Science 1205, pp. 708-711, IEEE, 2004.
8. C. Florin, J. Williams, A. Khamene, and N. Paragios, "Registration of 3D angiographic and X-ray images using sequential monte carlo sampling.," in Computer Vision for Biomedical Image Applications, First Int'l Workshop, CVBIA '05, Lecture Notes in Computer Science 3765, pp. 427-436, Springer, 2005.
9. G.-A. Turgeon, G. Lehmann, G. Guiraudon, M. Drangova, D. Holdsworth, and T. Peters, "2D-3D registration of coronary angiograms for cardiac procedure planning and guidance," Medical Physics 32, pp. 3737-3749, 2005.
10. M. Groher, N. Padoy, T. Jakobs, and N. Navab, "New CTA protocol and 2D-3D registration method for liver catheterization," in MICCAI, Lecture Notes in Computer Science 4190, pp. 873-882, 2006.
11. J. Jomier, E. Bullitt, M. van Horn, C. Pathak, and S. Aylward, "3d/2d model-to-image registration applied to tips surgery," in MICCAI, pp. 662-670, 2006.
12. M. Fleute and S. Lavallee, "Nonrigid 3-d/2-d registration of images using statistical models," in MICCAI, pp. 138-147, Springer, (London, UK), 1999.
13. S. Benameur, M. Mignotte, S. Parent, H. Labelle, W. Skalli, and J. de Guise, "3d/2d registration and segmentation of scoliotic vertebra using statistical models," Computerized Medical Imaging and Graphics 27, pp. 321-337, 2003.
14. J. Yao and R. Taylor, "Assessing accuracy factors in deformable 2d/3d medical image registration using a statistical pelvis model," in Proc. Int'l Conf. of Computer Vision (ICCV), p. 1329, IEEE Computer Society, (Washington, DC, USA), 2003.
15. G. Zheng, "A novel 3D/2D correspondence building method for anatomy-based registration," in 3rd Int'l. Workshop on Biomedical Image Registration, pp. 75-82, Springer, 2006.
16. T. S. Y. Tang and R. E. Ellis, "2d/3d deformable registration using a hybrid atlas," in MICCAI, Lecture Notes in Computer Science 3750, pp. 223-230, Springer, 2005.
17. K. Grochow, S. L. Martin, A. Hertzmann, and Z. Popovic, "Style-based inverse kinematics," in ACM Transactions on Graphics (Proc. of SIGGRAPH 2004), 2004.
18. D. Selle, B. Preim, A. Schenk, and H.-O. Peitgen, "Analysis of vasculature for liver surgery planning," IEEE Trans. on Medical Imaging (TMI) 21(8), pp. 1344-1357, 2002.
19. G. Wahba, Spline Models for Observational Data (CBMS-NSF Regional Conference Series in Applied Mathematics), Society for Industrial & Applied Mathematics, 1990.