Point similarity measures based on MRF modeling of difference images for spline-based 2D-3D rigid registration of X-ray fluoroscopy to CT images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4057 LNCS, Issue , 2006, Pages 186-194

  Zheng, Guoyan ^a   Zhang, Xuan ^a   Jonić, Slavica ^b,c   Thévenaz, Philippe ^b   Unser, Michael ^b   Nolte, Lutz Peter ^a  

^a UNIVERSITY OF BERN   (Switzerland)

^b EPFL   (Switzerland)

^c UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; MARKOV PROCESSES; RADIOGRAPHY; THREE DIMENSIONAL COMPUTER GRAPHICS; X RAY ANALYSIS;

DIGITALLY RECONSTRUCTED RADIOGRAPHS (DRR); FLUOROSCOPIC IMAGES; MARKOV RANDOM FIELD (MRF); X-RAY FLUOROSCOPY;

COMPUTERIZED TOMOGRAPHY;

EID: 33746366833     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11784012_23     Document Type: Conference Paper

References (12)

1. Penney G.P., Weese J., Little J.A., Desmedt P., Hill D.L.G., and Hawkes D.J.: A comparison of similarity measures for use in 2D-3D medical image registration. IEEE T Med Imaging, Vol. 17, No. 4, (1998) 586-595
2. Lemieux L., Jagoe R., Fish D.R., Kitchen N.D., and Thomas D.G.T.: A patient-to-computed-tomography image registration method based on digitally reconstructed radiographs. Med Phys, Vol. 21, No. 11, (1994) 1749-1760
3. Buzug T.M., Weese J., Fassnacht C., and Lorenz C.: Image registration: convex weighting functions for histogram-based similarity measures. Lecture Notes in Computer Science, Vol. 1205, Springer-Verlag, Berlin Heidelberg New York (1997) 203-212
4. Weese J., Buzug T.M., Lorenz C., Fassnacht C.: An approach to 2D/3D registration of a vertebra in 2D x-ray fluoroscopies with 3D CT images. Lecture Notes in Computer Science, Vol. 1205, Springer-Verlag, Berlin Heidelberg New York (1997) 119-128
5. Macs F., Collignon A., Vandermeulen D., Marchai G., and Suetens P.: Multi-modality image registration by maximization of mutual information. IEEE T Med Imaging, Vol. 16, No. 2, (1997) 187-198
6. Brown L.M.G. and Boult T.E.: Registration of planar film radiographs with computed tomography. IEEE Proceedings of MMBIA (1996) 42-51
7. Jonić S., Thévenaz P., Zheng G., Nolle L.-P., and Unser M.: An Optimized Spline-based registration of a 3D CT to a set of C-arm images. International Journal of Biomédical Imaging (In Press), 2006.
8. Jonić S., Thévenaz P., and Unser M.: Multiresolution-based registration of a volume to a set of its projection. Proceedings of the SPIE International Symposium on Medical Imaging: Image Processing (MF 03), San Diego CA, USA, (2003), Vol. 5032, Part II, pp. 1049-1052
9. Li S.Z.: Markov random field modeling in computer vision. Springer-Verlag, Berlin Heidelberg New York, (1995).
10. Zheng G., Zhang X., and Nolle L.-P.: Assessing spline-based multi-resolution 2D-3D image registration for practical use in surgical guidance. Lecture Noles in Computer Science, Vol. 3150, (2004) 294-301
11. Zöllei L., Grimson E., Norbash A., and Wells W.: 2D-3D rigid registration of X-ray fluoroscopy and CT images using mutual information and sparsely sampled histogram estimators. Proceedings of CVPR'01, Volume 2, (2001) 679-703.
12. Russakoff D.B., Rohlfind T., and Maurer C.R. Jr.: Fast intensity-based 2D-3D image registration of clinical data using lighting fields. Proceedings of ICCV'03, (2003) 416-422.