V. Iremashvili, L. Pelaez, M. Jorda, M. Manoharan, M. Arianayagam et al., Prostate Sampling by 12-Core Biopsy: Comparison of the Biopsy Results With Tumor Location in Prostatectomy Specimens, Urology, vol.79, issue.1, pp.37-42, 2012.
DOI : 10.1016/j.urology.2011.09.011

S. Xu, J. Kruecker, B. Turkbey, N. Glossop, A. Singh et al., Wood Real-time MRI-TRUS fusion for guidance of targeted prostate biopsies

J. Bax, D. Cool, L. Gardi, K. Knight, D. Smith et al., Mechanically assisted 3D ultrasound guided prostate biopsy system, Medical Physics, vol.66, issue.2, pp.5397-5410, 2008.
DOI : 10.1016/j.urology.2005.03.002

M. Baumann, P. Mozer, V. Daanen, and J. Troccaz, Prostate biopsy tracking with deformation estimation. Medical Image Analysis, pp.562-576, 2011.
DOI : 10.1016/j.media.2011.01.008
URL : https://hal.archives-ouvertes.fr/hal-00606407

T. Silva, A. Fenster, D. Cool, L. Gardi, C. Romagnoli et al., 2D-3D rigid registration to compensate for prostate motion during 3D TRUS-guided biopsy, Medical Physics, vol.38, issue.3, p.22904, 2013.
DOI : 10.1118/1.3557883

D. Silva, . Tharindu, D. Cool, J. Yuan, C. Romagnoli et al., Aaron Robust 2D-3D registration optimization for motion compensation during 3D TRUS-guided biopsy using learned prostate motion data, IEEE Transactions on Medical Imaging, 2017.

D. J. Gillies, L. Gardi, R. Zhao, and . Fenster, Aaron Optimization of realtime rigid registration motion compensation for prostate biopsies using 2D/3D ultrasound SPIE Medical Imaging, pp.101351-101351, 2017.

S. Khallaghi, C. Sanchez, S. Nouranian, S. Sojoudi, S. Chang et al., A 2D-3D Registration Framework for Freehand TRUS-Guided Prostate Biopsy, pp.272-279, 2015.
DOI : 10.1109/TBME.2010.2094195

S. Selmi, E. Promayon, and J. Troccaz, 3D-2D ultrasound feature-based registration for navigated prostate biopsy: A feasibility study, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), p.41094112, 2016.
DOI : 10.1109/EMBC.2016.7591630
URL : https://hal.archives-ouvertes.fr/hal-01387243

D. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-100, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94
URL : http://www.cs.ubc.ca/~lowe/papers/ijcv03.ps

K. S. Arun, T. S. Huang, and S. D. Blostein, Least-Squares Fitting of Two 3-D Point Sets, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.9, issue.5, pp.9698-700, 1987.
DOI : 10.1109/TPAMI.1987.4767965

C. Harris and M. Stephens, A Combined Corner and Edge Detector, Procedings of the Alvey Vision Conference 1988, pp.147-151, 1988.
DOI : 10.5244/C.2.23
URL : http://www.bmva.org/bmvc/1988/avc-88-023.pdf

F. Cornud, L. Brolis, N. Barry-delongchamps, D. Portalez, B. Malavaud et al., TRUS???MRI image registration: a paradigm shift in the diagnosis of significant prostate cancer, Abdominal Imaging, vol.23, issue.1, 2013.
DOI : 10.1007/s00330-012-2701-1

C. Fouard, A. Deram, Y. Keraval, and E. Promayon, CamiTK: A Modular Framework Integrating Visualization, Image Processing and Biomechanical Modeling, Soft Tissue Biomechanical Modeling for Computer Assisted Surgery, Y. Payan, pp.323-354, 2012.
DOI : 10.1007/8415_2012_118
URL : https://hal.archives-ouvertes.fr/hal-00806781