A survey of image registration techniques, ACM Computing Surveys, vol.24, issue.4, pp.325-376, 1992. ,
DOI : 10.1145/146370.146374
A survey of medical image registration, Medical Image Analysis, vol.2, issue.1, pp.1-36, 1998. ,
DOI : 10.1016/S1361-8415(01)80026-8
A survey of hierarchical non-linear medical image registration, Pattern Recognition, vol.32, issue.1, pp.129-149, 1999. ,
DOI : 10.1016/S0031-3203(98)00095-8
Medical image registration, Physics in Medicine and Biology, vol.46, issue.3, pp.1-45, 2001. ,
DOI : 10.1088/0031-9155/46/3/201
URL : https://hal.archives-ouvertes.fr/inria-00615977
Image registration methods: a survey, Image and Vision Computing, vol.21, issue.11, pp.977-1000, 2003. ,
DOI : 10.1016/S0262-8856(03)00137-9
Mutual-information-based registration of medical images: a survey, IEEE Transactions on Medical Imaging, vol.22, issue.8, pp.986-1004, 2003. ,
DOI : 10.1109/TMI.2003.815867
Pulmonary Kinematics From Image Data, Academic Radiology, vol.18, issue.4, pp.402-417, 2011. ,
DOI : 10.1016/j.acra.2010.10.019
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration, NeuroImage, vol.46, issue.3, pp.786-802, 2009. ,
DOI : 10.1016/j.neuroimage.2008.12.037
URL : https://hal.archives-ouvertes.fr/inserm-00360790
Implementation and evaluation of various demons deformable image registration algorithms on a GPU, Physics in Medicine and Biology, vol.55, issue.1, pp.207-219, 2010. ,
DOI : 10.1088/0031-9155/55/1/012
Evaluation of 4D-CT Lung Registration, MICCAI, vol.12, pp.747-754, 2009. ,
DOI : 10.1007/978-3-642-04268-3_92
A quantitative evaluation of cross-participant registration techniques for MRI studies of the medial temporal lobe???, NeuroImage, vol.44, issue.2, pp.319-327, 2009. ,
DOI : 10.1016/j.neuroimage.2008.09.016
A Comparison Framework for Breathing Motion Estimation Methods From 4-D Imaging, IEEE Transactions on Medical Imaging, vol.26, issue.12, pp.1636-1648, 2007. ,
DOI : 10.1109/TMI.2007.901006
URL : https://hal.archives-ouvertes.fr/hal-00973183
A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets, Physics in Medicine and Biology, vol.54, issue.7, pp.1849-1870, 2009. ,
DOI : 10.1088/0031-9155/54/7/001
Comparison and evaluation of retrospective intermodality image registration techniques, Journal of Computer Assisted Tomography, vol.21, pp.554-566, 1997. ,
URL : https://hal.archives-ouvertes.fr/inria-00615072
Introduction to the Non-rigid Image Registration Evaluation Project (NIREP), Third International Workshop on Biomedical Image Registration, pp.128-135, 2006. ,
DOI : 10.1007/11784012_16
Objective assessment of deformable image registration in radiotherapy: A multi-institution study, Medical Physics, vol.33, issue.12, pp.5944-5953, 2008. ,
DOI : 10.1118/1.2161408
Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection, Medical Physics, vol.4791, issue.3, pp.2934-2947, 2009. ,
DOI : 10.1148/radiol.2323032035
Nodule management protocol of the NELSON randomised lung cancer screening trial, Lung Cancer, vol.54, issue.2, pp.177-184, 2006. ,
DOI : 10.1016/j.lungcan.2006.08.006
The POPI model, a point-validated pixel-based breathing thorax model, XVth ICCR, 2007. ,
Validation of nonrigid image registration using finite-element methods: application to breast MR images, IEEE Transactions on Medical Imaging, vol.22, issue.2, pp.238-247, 2003. ,
DOI : 10.1109/TMI.2002.808367
A framework for comparison and evaluation of nonlinear intra-subject image registration algorithms, IJ -2007 MICCAI Open Science Workshop, 2007. ,
Validation of an accelerated ???demons??? algorithm for deformable image registration in radiation therapy, Physics in Medicine and Biology, vol.50, issue.12, pp.2887-2905, 2005. ,
DOI : 10.1088/0031-9155/50/12/011
Semi-automatic Reference Standard Construction for Quantitative Evaluation of Lung CT Registration, MICCAI, vol.11, pp.1006-1013, 2008. ,
DOI : 10.1007/978-3-540-85990-1_121
Semi-automatic construction of reference standards for evaluation of image registration, Medical Image Analysis, vol.15, issue.1, pp.71-84, 2011. ,
DOI : 10.1016/j.media.2010.07.005
Supervised Enhancement Filters: Application to Fissure Detection in Chest CT Scans, IEEE Transactions on Medical Imaging, vol.27, issue.1, pp.1-10, 2008. ,
DOI : 10.1109/TMI.2007.900447
4D-CT lung motion estimation with deformable registration: Quantification of motion nonlinearity and hysteresis, Medical Physics, vol.5, issue.1-2, pp.1008-1018, 2008. ,
DOI : 10.1016/0020-0190(91)90233-8
URL : https://hal.archives-ouvertes.fr/hal-00631157
A Method for Assessing the Accuracy of Intersubject Registration of the Human Brain Using Anatomic Landmarks, NeuroImage, vol.9, issue.2, pp.250-268, 1999. ,
DOI : 10.1006/nimg.1998.0397
Quantification of accuracy of the automated nonlinear image matching and anatomical labeling (ANIMAL) nonlinear registration algorithm for 4D CT images of lung, Medical Physics, vol.33, issue.6, pp.4409-4421, 2007. ,
DOI : 10.1118/1.2161409
Evaluation of an automated deformable image matching method for quantifying lung motion in respiration-correlated CT images, Medical Physics, vol.33, issue.2, pp.369-376, 2006. ,
Validation and comparison of registration methods for freebreathing 4D lung CT, Proceedings of the SPIE, pp.69-142, 2008. ,
Evaluation of deformable registration of patient lung 4DCT with subanatomical region segmentations, Medical Physics, vol.9, issue.2, pp.775-781, 2008. ,
DOI : 10.1016/j.media.2005.04.001
URL : https://hal.archives-ouvertes.fr/hal-00443500
Automatic detection and segmentation of evolving processes in 3D medical images: Application to multiple sclerosis, Medical Image Analysis, vol.6, issue.2, pp.163-179, 2002. ,
DOI : 10.1016/S1361-8415(02)00056-7
URL : https://hal.archives-ouvertes.fr/inria-00615024
Diffeomorphic demons and the EMPIRE10 challenge Medical Image Analysis for the Clinic: A Grand Challenge, pp.91-98, 2010. ,
Diffeomorphic demons: Efficient non-parametric image registration, NeuroImage, vol.45, issue.1, pp.61-72, 2009. ,
DOI : 10.1016/j.neuroimage.2008.10.040
URL : https://hal.archives-ouvertes.fr/inserm-00349600
A robust and efficient block-matching framework for non linear registration of thoracic CT images Medical Image Analysis for the Clinic: A Grand Challenge, pp.137-146, 2010. ,
Feature-constrained nonlinear registration of lung CT images Medical Image Analysis for the Clinic: A Grand Challenge, pp.63-72, 2010. ,
Weight preserving image registration for monitoring disease progression in lung CT, " in Medical Image Computing and Computer- Assisted Intervention, ser, Lecture Notes in Computer Science, issue.5242, pp.863-870 ,
Mass preserving image registration: Results of evaluation of methods for pulmonary image registration 2010 challenge Medical Image Analysis for the Clinic: A Grand Challenge, pp.155-164, 2010. ,
Non-rigid registration using discrete MRFs: Application to thoracic CT images Medical Image Analysis for the Clinic: A Grand Challenge, pp.147-154, 2010. ,
Dense image registration through MRFs and efficient linear programming???, Medical Image Analysis, vol.12, issue.6, 2008. ,
DOI : 10.1016/j.media.2008.03.006
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.222
Pulmonary image registration with elastix using a standard intensitybased algorithm, " Medical Image Analysis for the Clinic: A Grand Challenge, pp.73-79, 2010. ,
<emphasis emphasistype="mono">elastix</emphasis>: A Toolbox for Intensity-Based Medical Image Registration, IEEE Transactions on Medical Imaging, vol.29, issue.1, pp.196-205, 2010. ,
DOI : 10.1109/TMI.2009.2035616
Robust optical flow based deformable registration of thoracic CT images Medical Image Analysis for the Clinic: A Grand Challenge, pp.195-204, 2010. ,
A Duality Based Algorithm for TV-L 1-Optical-Flow Image Registration, Lecture Notes in Computer Science, vol.4792, pp.511-518, 2007. ,
DOI : 10.1007/978-3-540-75759-7_62
Diffeomorphic diffusion registration of lung CT images Medical Image Analysis for the Clinic: A Grand Challenge, pp.55-62, 2010. ,
Statistical Modeling of 4D Respiratory Lung Motion Using Diffeomorphic Image Registration, IEEE Transactions on Medical Imaging, vol.30, issue.2, pp.251-265, 2011. ,
DOI : 10.1109/TMI.2010.2076299
Regularized nonrigid registration of lung CT images by preserving tissue volume and vesselness measure Medical Image Analysis for the Clinic: A Grand Challenge, pp.43-54, 2010. ,
Unifying Vascular Information in Intensity-Based Nonrigid Lung CT Registration, Biomedical Image Registration: 4th International Workshop, WBIR2010, ser, pp.1-12, 2010. ,
DOI : 10.1007/978-3-642-14366-3_1
Knowledge driven regularization of the deformation field for PDE based non-rigid registration algorithms, " Medical Image Analysis for the Clinic: A Grand Challenge, pp.127-136, 2010. ,
Deformable image registration with automated motion-mask extraction Medical Image Analysis for the Clinic: A Grand Challenge, pp.119-125, 2010. ,
Evaluation of plastimatch B-Spline registration on the EMPIRE10 data set, " Medical Image Analysis for the Clinic: A Grand Challenge, pp.99-108, 2010. ,
On developing B-spline registration algorithms for multi-core processors, Physics in Medicine and Biology, vol.55, issue.21, pp.6329-6351, 2010. ,
DOI : 10.1088/0031-9155/55/21/001
Lung registration using the NiftyReg package Medical Image Analysis for the Clinic: A Grand Challenge, pp.33-42, 2010. ,
Fast free-form deformation using graphics processing units, Computer Methods and Programs in Biomedicine, vol.98, issue.3, pp.278-284, 2010. ,
DOI : 10.1016/j.cmpb.2009.09.002
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.453.1645
Discontinuity preserving regularisation for variational optical-flow registration using the modified Lp norm Medical Image Analysis for the Clinic: A Grand Challenge, pp.185-194, 2010. ,
Fast elastic image registration Medical Image Analysis for the Clinic: A Grand Challenge Lung CT image registration using diffeomorphic transformation models, Medical Image Analysis for the Clinic: A Grand Challenge, pp.81-89, 2010. ,
A reproducible evaluation of ANTs similarity metric performance in brain image registration, NeuroImage, vol.54, issue.3, pp.2033-2044, 2011. ,
DOI : 10.1016/j.neuroimage.2010.09.025
Deformable registration of chest CT scans with adaptive local mutual information Medical Image Analysis for the Clinic: A Grand Challenge, pp.175-184, 2010. ,
3D lung registration using splineMIRIT and robust tree registration (RTR), " Medical Image Analysis for the Clinic: A Grand Challenge, pp.109-117, 2010. ,