A Review of Methods for 2D/3D Registration

2D/3D registration is a special case of medical image registration which is of particular interest to surgeons. Applications of 2D/3D registration are [1] radiotherapy planning and treatment verification, spinal surgery, hip replacement, neurointerventions and aortic stenting. The purpose of this paper is to provide a literature review of the main methods for image registration for the 2D/3D case. At the end of the paper an algorithm is proposed for 2D/3D registration based on the Chebyssev polynomials iteration loop.

Authors:

• Panos D. Kotsas
• Tony Dodd

Keywords:

• Medical image registration
• review
• 2D/3D

References:

[1] E.B. van de Kraats, G.P.Penney, D. Tomazevic, T van Walsum, and
W.J. Niessen, "Standardized evaluation methodology for 2D-3D
registration", IEEE Trans. Med. Imag. , vol. 24, no. 9, pp. 1177-1189,
Sep. 2005.
[2] A. Guéziec, P. Kazanzides, B. Williamson, and R. H.
Taylor,"Anatomybased registration of CT-scan and intraoperative Xrayimages
for guiding a surgical robot," IEEE Trans. Med. Imag., vol.
17,pp. 715-728, Oct. 1998.
[3] D. Tomazevic, B. Likar, T. Slivnik, and F. Pernus, "3-D/2-D registration
of CT and MR to X-ray images," IEEE Trans. Med. Imag., vol. 22, no.
11, pp. 1407-1416, Nov. 2003.
[4] G. P. Penney, P. G. Batchelor, D. L. G. Hill, D. J. Hawkes, and
J.Weese,"Validation of a two- to three-dimensional registration
algorithm for aligning preoperative CT images and intraoperative
fluoroscopyimages," Med. Phys., vol. 28, no. 6, pp. 1024-1032, 2001.
[5] D. B. Russakoff, T. Rohlfing, A. Ho, D. H. Kim, R. Shahidi, J. R.
AdlerJr., and C. R. Maurer Jr. et al., "Evaluation of intensity-based 2D-
3D spine image registration using clinical gold-standard data," in
Lecture Notes in Computer Science, J. C. Gee et al., Eds. Berlin,
Germany: Springer-Verlag, 2003, vol. 2717, WBIR 2003, pp. 151-160.
[6] M. Vermandel, N. Betrouni, G. Palos, J. Y. Gauvrit, C. Vasseur, and J.
Rousseau, "Registration, matching, and data fusion in 2D/3D medical
imaging: Application to DSA and MRA," in Lecture Notes in Computer
Science, R. Ellis and T. Peters, Eds: Springer-Verlag, 2003, vol. 2878,
Medical Image Computing and Computer Assisted Intervention -
MICCAI 2003, pp. 778-785.
[7] J. V. Byrne, C. Colomina, J. Hipwell, T. Cox, J. A. Noble, G. P. Penney,
and D. J. Hawkes, "An assessment of a technique for 2D-3D registration
of cerebral intra-arterial angiography," Br. J. Radiol., vol. 77, no. 914,
pp. 123-128, 2004.
[8] S. A. M. Baert, G. P. Penney, T. van Walsum, and W. J. Niessen,
"Precalibration versus 2D-3D registration for 3D guide wire display in
endovascular interventions," in Lecture Notes in Computer Science, C.
Barillot, D. Haynor, and P. Hellier, Eds. New York: Springer, 2004, pt.
2, vol. 3217, Medical Image Computing and Computer-Assisted
Intervention- MICCAI 2004, pp. 577-584.
[9] R. A. McLaughlin, J. Hipwell, D. J. Hawkes, J. A. Noble, J. V.
Byrne,and T. Cox, "A comparison of 2D-3D intensity-based registration
and feature-based registration for neurointerventions," in Lecture Notes
in Computer Science, T. Dohi and R. Kikinis, Eds: Springer, 2002, pt. 2,
vol. 2489, Medical Image Computing and Computer-Assisted
Intervention- MICCAI 2002, pp. 517-524.
[10] Y. Masutani, T. Dohi, F. Yamane, H. Iseki, and K. Takakura,
"Interactive virtualized display system for intravascular neurosurgery,"
in Lecture Notes in Computer Science, J. Troccaz, W. Grimson, and R.
Mösges, Eds: Springer, 1997, vol. 1205, CVRMed-MRCAS -97, pp.
427-435.
[11] G. P. Penney, J. Weese, J. A. Little, P. Desmedt, D. L. G. Hill, and D.J.
Hawkes, "A comparison of similarity measures for use in 2-D-3-D
medical image registration," IEEE Trans. Med. Imag., vol. 17, no. 4,
pp.586-595, Apr. 1998.
[12] J. H. Hipwell, G. P. Penney, R. A. McLaughlin, K. Rhode, P.
Summers,T. C. Cox, J. V. Byrne, J. A. Noble, and D. J. Hawkes,
"Intensity-based 2-D-3-D registration of cerebral angiograms," IEEE
Trans. Med. Imag., vol. 22, no. 11, pp. 1417-1426, Nov. 2003.
[13] B. Zitova, J. Flusser, "Image registration methods: a survey", Image and
Vision Computing, 21 (2003), pp 977-1000.
[14] J.Weese, G. P. Penney, P. Desmedt, T. M. Buzug, D. L. G. Hill, and D.
J. Hawkes, "Voxel-based 2-D/3-D registration of fluoroscopy images
and CT scans for image-guided surgery," IEEE Trans. Inf. Technol.
Biomed., vol. 1, no. 4, pp. 284-293, Dec 1997.
[15] H. Livyatan, Z. Yaniv, and L. Joskowicz, "Gradient-based 2-D/3-D rigid
registration of fluoroscopic X-ray to CT," IEEE Trans. Med. Imag., vol.
22, no. 11, pp. 1395-1406, Nov. 2003.
[16] J. Feldmar, N. Ayache, and F. Betting, "3D-2D projective registration of
free-form curves and surfaces," Comput. Vis. Image Understanding,
vol.65, no. 3, pp. 403-424, 1997.
[17] Y. Kita, D. L. Wilson, and J. A. Noble, "Real-time registration of 3D
cerebral vessels to X-ray angiograms," in Lecture Notes in Computer
Science, W. M. Wells, A. Colchester, and S. Delp, Eds. New
York:Springer, 1998, vol. 1496, Medical Image Computing and
Computer-Assisted Intervention (MICCAI 98), pp. 1125-1133.
[18] S. Lavallée and R. Szeliski, "Recovering the position and orientation of
free-form objects from image contours using 3D distance maps," IEEE
Trans. Pattern Anal. Mach. Intell., vol. 17, no. 4, pp. 378-390, Apr.
1995. [8] M. J. Murphy, "An automatic six-degree-of-freedom image
registration algorithm for image-guided frameless stereotaxic
radiosurgery," Med. Phys., vol. 24, no. 6, pp. 857-866, 1997.
[19] D.Marsh, "Applied geometry for computer graphics and CAD", Second
Edition, Springer(2005).