N. Kontchou, G. Mahamoudi, A. Aout, and M. , Radiofrequency ablation of hepatocellular carcinoma: Long-term results and prognostic factors in 235 Western patients with cirrhosis, Hepatology, vol.92, issue.5, pp.1475-1483, 2009.
DOI : 10.1002/bjs.4986

A. Hocquelet, P. Balageas, and C. Laurent, Radiofrequency ablation versus surgical resection for hepatocellular carcinoma within the Milan criteria: A study of 281 Western patients, International Journal of Hyperthermia, vol.31, issue.7, pp.749-757, 2015.
DOI : 10.1148/radiol.15141483

A. Hocquelet, M. Montaudon, and P. Balageas, Comparison of Surgical Resection and Radiofrequency Ablation for Hepatocellular Carcinoma, Annals of Surgery, vol.266, issue.2, 2015.
DOI : 10.1097/SLA.0000000000001293

O. Seror, Percutaneous hepatic ablation: What needs to be known in 2014, Diagnostic and Interventional Imaging, vol.95, issue.7-8, pp.665-675, 2014.
DOI : 10.1016/j.diii.2014.04.002
URL : https://doi.org/10.1016/j.diii.2014.04.002

O. Seror, Ablative therapies: Advantages and disadvantages of radiofrequency, cryotherapy, microwave and electroporation methods, or how to choose the right method for an individual patient?, Diagnostic and Interventional Imaging, vol.96, issue.6, pp.617-624, 2015.
DOI : 10.1016/j.diii.2015.04.007

V. Cartier, J. Boursier, and J. Lebigot, Radiofrequency ablation of hepatocellular carcinoma: Mono or multipolar?, Journal of Gastroenterology and Hepatology, vol.6, issue.3, pp.654-660, 2016.
DOI : 10.4254/wjh.v6.i3.107

M. Ahmed, L. Solbiati, and C. Brace, Image-Guided Tumor Ablation: Standardization of Terminology and Reporting Criteria???A 10-Year Update, Journal of Vascular and Interventional Radiology, vol.25, issue.11, pp.1691-1705, 2014.
DOI : 10.1016/j.jvir.2014.08.027

A. Sasaki, S. Kai, and Y. Iwashita, Microsatellite distribution and indication for locoregional therapy in small hepatocellular carcinoma, Cancer, vol.214, issue.2, pp.299-306, 2005.
DOI : 10.1148/radiology.214.3.r00mr02761

Y. Kim, W. Lee, and H. Rhim, The Minimal Ablative Margin of Radiofrequency Ablation of Hepatocellular Carcinoma (> 2 and < 5 cm) Needed to Prevent Local Tumor Progression: 3D Quantitative Assessment Using CT Image Fusion, American Journal of Roentgenology, vol.195, issue.3, pp.758-765, 2010.
DOI : 10.2214/AJR.09.2954

C. Liu, R. Arellano, and R. Uppot, Radiofrequency ablation of hepatic tumours: effect of post-ablation margin on local tumour progression, European Radiology, vol.52, issue.4, pp.877-885, 2010.
DOI : 10.1148/radiology.214.3.r00mr02761

X. Wang, K. Li, and Z. Su, Assessment of radiofrequency ablation margin by MRI-MRI image fusion in hepatocellular carcinoma, World Journal of Gastroenterology, vol.21, issue.17, pp.5345-5351, 2015.
DOI : 10.1055/s-0032-1325466

M. Sakakibara, K. Ohkawa, and K. Katayama, Three-Dimensional Registration of Images Obtained Before and After Radiofrequency Ablation of Hepatocellular Carcinoma to Assess Treatment Adequacy, American Journal of Roentgenology, vol.202, issue.5, pp.487-495, 2014.
DOI : 10.2214/AJR.13.11384

H. Korin, R. Ehman, and S. Riederer, Respiratory kinematics of the upper abdominal organs: A quantitative study, Magnetic Resonance in Medicine, vol.173, issue.1, pp.172-178, 1992.
DOI : 10.1148/radiology.173.1.2781017

T. Nakazawa, S. Kokubu, and A. Shibuya, Radiofrequency Ablation of Hepatocellular Carcinoma: Correlation Between Local Tumor Progression After Ablation and Ablative Margin, American Journal of Roentgenology, vol.188, issue.2, pp.480-488, 2007.
DOI : 10.2214/AJR.05.2079

P. Austin, An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies, Multivariate Behavioral Research, vol.110, issue.3, pp.399-424, 2011.
DOI : 10.1016/j.drugalcdep.2009.03.018

M. Ahmed, L. Solbiati, and C. Brace, Image-guided Tumor Ablation: Standardization of Terminology and Reporting Criteria???A 10-Year Update, Radiology, vol.273, issue.1, pp.241-260, 2014.
DOI : 10.1148/radiol.14132958

M. Heinrich, M. Jenkinson, and M. Bhushan, MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration, Medical Image Analysis, vol.16, issue.7, pp.1423-1435, 2012.
DOI : 10.1016/j.media.2012.05.008

Ø. Noe, K. , D. Senneville, B. Elstrøm, and U. , Acceleration and validation of optical flow based deformable registration for image-guided radiotherapy, Acta Oncol Stockh Swed, vol.47, pp.1286-1293, 2008.
URL : https://hal.archives-ouvertes.fr/hal-01065570

J. Mirebeau, J. Fehrenbach, L. Risser, and S. Tobji, Anisotropic diffusion in ITK, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01121511

P. Yushkevich, J. Piven, and H. Hazlett, User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability, NeuroImage, vol.31, issue.3, pp.1116-1128, 2006.
DOI : 10.1016/j.neuroimage.2006.01.015

G. Windreich, N. Kiryati, and G. Lohmann, Voxel-based surface area estimation: from theory to practice, Pattern Recognition, vol.36, issue.11, pp.2531-2541, 2003.
DOI : 10.1016/S0031-3203(03)00173-0

J. Ziegel and M. Kiderlen, Estimation of surface area and surface area measure of three-dimensional sets from digitizations, Image and Vision Computing, vol.28, issue.1, pp.64-77, 2010.
DOI : 10.1016/j.imavis.2009.04.013

J. Lindblad, Surface area estimation of digitized 3D objects using weighted local configurations, Image and Vision Computing, vol.23, issue.2, pp.111-122, 2005.
DOI : 10.1016/j.imavis.2004.06.012

L. Dorst and A. Smeulders, Length estimators for digitized contours, Computer Vision, Graphics, and Image Processing, vol.40, issue.3, pp.311-333, 1987.
DOI : 10.1016/S0734-189X(87)80145-7

J. Koplowitz and A. Bruckstein, Design of perimeter estimators for digitized planar shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.6, pp.611-622, 1989.
DOI : 10.1109/34.24795

N. Kiryati and O. Kübler, Chain code probabilities and optimal length estimators for digitized three-dimensional curves, Pattern Recognition, vol.28, issue.3, pp.361-372, 1995.
DOI : 10.1016/0031-3203(94)00101-Q
URL : http://www.eng.tau.ac.il/~nk/TRs/3dleTR.ps.gz

N. Kiryati and G. Székely, Estimating shortest paths and minimal distances on digitized three-dimensional surfaces, Pattern Recognition, vol.26, issue.11, pp.1623-1637, 1993.
DOI : 10.1016/0031-3203(93)90018-R

A. Jonas and N. Kiryati, Length estimation in 3-D using cube quantization, Journal of Mathematical Imaging and Vision, vol.8, issue.3, pp.215-238, 1998.
DOI : 10.1023/A:1008218517090
URL : http://www.eng.tau.ac.il/~nk/TRs/amnonjccle.ps.gz

B. Verwer, Local distances for distance transformations in two and three dimensions, Pattern Recognition Letters, vol.12, issue.11, pp.671-682, 1991.
DOI : 10.1016/0167-8655(91)90004-6

R. Grossmann, N. Kiryati, and R. Kimmel, Computational surface flattening: a voxel-based approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.4, pp.433-441, 2002.
DOI : 10.1109/34.993552
URL : http://www.eng.tau.ac.il/~nk/TRs/VoxMDS.ps.gz

G. Windreich, N. Kiryati, and G. Lohmann, Voxel-based surface area estimation: from theory to practice, Pattern Recognition, vol.36, issue.11, pp.2531-2541, 2003.
DOI : 10.1016/S0031-3203(03)00173-0

J. Lindblad, Surface area estimation of digitized 3D objects using weighted local configurations, Image and Vision Computing, vol.23, issue.2, pp.111-122, 2005.
DOI : 10.1016/j.imavis.2004.06.012

J. Mullikin and P. Verbeek, Surface area estimation of digitized planes, Bioimaging, vol.1, issue.1, pp.6-16, 1993.
DOI : 10.1002/1361-6374(199303)1:1<6::AID-BIO3>3.3.CO;2-V

V. Carillo, C. Cozzarini, and L. Perna, Contouring Variability of the Penile Bulb on CT Images: Quantitative Assessment Using a Generalized Concordance Index, International Journal of Radiation Oncology*Biology*Physics, vol.84, issue.3, pp.841-846, 2012.
DOI : 10.1016/j.ijrobp.2011.12.057

I. Wolf, M. Vetter, and I. Wegner, The Medical Imaging Interaction Toolkit, Medical Image Analysis, vol.9, issue.6, pp.594-604, 2005.
DOI : 10.1016/j.media.2005.04.005

K. Kim, J. Lee, and E. Klotz, Safety Margin Assessment After Radiofrequency Ablation of the Liver Using Registration of Preprocedure and Postprocedure CT Images, American Journal of Roentgenology, vol.196, issue.5, pp.565-572, 2011.
DOI : 10.2214/AJR.10.5122

S. Shin, J. Lee, and K. Kim, Postablation Assessment Using Follow-Up Registration of CT Images Before and After Radiofrequency Ablation (RFA): Prospective Evaluation of Midterm Therapeutic Results of RFA for Hepatocellular Carcinoma, American Journal of Roentgenology, vol.203, issue.1, pp.70-77, 2014.
DOI : 10.2214/AJR.13.11709

R. Lencioni and J. Llovet, Modified RECIST (mRECIST) Assessment for Hepatocellular Carcinoma, Seminars in Liver Disease, vol.30, issue.01, pp.52-60, 2010.
DOI : 10.1055/s-0030-1247132

D. Lee, J. Lee, and J. Lee, Radiofrequency Ablation of Hepatocellular Carcinoma as First-Line Treatment: Long-term Results and Prognostic Factors in 162 Patients with Cirrhosis, Radiology, vol.270, issue.3, pp.900-909, 2014.
DOI : 10.1148/radiol.13130940