This page provides additional references and a transcript for my mini-lecture on "discrete optimisation for medical image registration" at MICCAI's inaugural Educational challenge 2014 organised by the MICCAI student committee.
Further information about the challenge can be found here: miccai2014.org/edu
Video Lecture
Discrete Optimisation for Medical Image Registration QuickTime Movie
Resolution: 1152x720, AAC, H.264, duration 12 min 34 secs, size 111 MByte
Transcript of the lecture (pdf)
The registration package deeds can be downloaded from the software page on this website.
(Incomplete) List of references using discrete optimisation for medical image registration
Optical flow estimation with uncertainties through dynamic MRFs
B Glocker, N Paragios, N Komodakis, G Tziritas, N Navab
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
MRF-based deformable registration and ventilation estimation of lung CT
MP Heinrich, M Jenkinson, SM Brady, JA Schnabel
IEEE Transaction on Medical Imaging 32 (7), 1239-48 2013
Nonrigid image registration using dynamic higher-order MRF model
D Kwon, KJ Lee, ID Yun, SU Lee - Computer Vision–ECCV 2008, 2008 - Springer
Dense image registration through MRFs and efficient linear programming
B Glocker, N Komodakis, G Tziritas, N Navab, N Paragios
Medical image analysis 12 (6), 731-741, 2008
Simultaneous Segmentation and Multi-Resolution Nonrigid Atlas Registration
T Gass, G Szekely, O Goksel
IEEE Transactions on Image Processing 23 (7), 2931 - 2943, 2014
Discrete Symmetric Image Registration
A Sotiras, N Paragios
Biomedical Imaging: From Nano to Macro, 2012 IEEE International Symposium on
Approximated curvature penalty in non-rigid registration using pairwise MRFs
B Glocker, N Komodakis, N Paragios, N Navab
Advances in Visual Computing, 1101-1109 2009
Random walks with efficient search and contextually adapted image similarity for deformable registration
L Tang, G Hamarneh
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2013
Random Walk Image Registration via Cost Aggregation
LYW Tang, G Hamarneh
IEEE International Symposium on Biomedical Imaging (IEEE ISBI), 576-579 2014
Uncertainty Estimates for Improved Accuracy of Registration-Based Segmentation Propagation using Discrete Optimisation
MP Heinrich, IJA Simpson, M Jenkinson, M Brady, JA Schnabel
MICCAI Challenge Workshop on Segmentation: Algorithms, Theory and Applications 2013
Edge-and detail-preserving sparse image representations for deformable registration of chest MRI and CT volumes
MP Heinrich, M Jenkinson, BW Papież, FV Glesson, M Brady, JA Schnabel
Information Processing in Medical Imaging, 463-474 2013
Simultaneous geometric-iconic registration
A Sotiras, Y Ou, B Glocker, C Davatzikos, N Paragios
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010, 676-683
Linear intensity-based image registration by Markov random fields and discrete optimization
D Zikic, B Glocker, O Kutter, M Groher, N Komodakis, A Kamen, Nassir Navab
Medical image analysis 14 (4), 550-562
Concurrent tumor segmentation and registration with uncertainty-based sparse non-uniform graphs
S Parisot, W Wells III, S Chemouny, H Duffau, N Paragios
Medical image analysis 18 (4), 647-659 2014
A variational formulation for discrete registration
K Popuri, D Cobzas, M Jägersand
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013, 187-194
Joint registration and segmentation of dynamic cardiac perfusion images using MRFs
D Mahapatra, Y Sun
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010, 493-501
A selection of further literature on the theorerical background of disrecte optimisation
Pictorial structures for object recognition
PF Felzenszwalb, DP Huttenlocher
International Journal of Computer Vision 61 (1), 55-79, 2005
Efficient belief propagation for early vision
PF Felzenszwalb, DP Huttenlocher
International journal of computer vision 70 (1), 41-54, 2006
An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
Y Boykov, V Kolmogorov
Pattern Analysis and Machine Intelligence, IEEE Transactions on 26 (9), 1124, 2004
Convergent tree-reweighted message passing for energy minimization
V Kolmogorov
Pattern Analysis and Machine Intelligence, IEEE Transactions on 28, 2006
Dynamic programming and graph algorithms in computer vision
P Felzenszwalb, R Zabih
Pattern Analysis and Machine Intelligence, IEEE Transactions on 33 (4) 2011
Distance Transforms of Sampled Functions.
PF Felzenszwalb, DP Huttenlocher
Theory of computing 8 (1), 415-428 2012
Minimizing nonsubmodular functions with graph cuts-a review
V Kolmogorov, C Rother
Pattern Analysis and Machine Intelligence, IEEE Transactions on 29 (7), 1274, 2007
MRF optimization via dual decomposition: Message-passing revisited
N Komodakis, N Paragios, G Tziritas
Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on, 1-8
