Joint tumor segmentation and dense deformable registration of brain MR images

Authors:
Sarah Parisot;Hugues Duffau;Stéphane Chemouny;Nikos Paragios
Affiliations:
Center for Visual Computing, Ecole Centrale Paris, Chatenay Malabry, France, Equipe GALEN, INRIA Saclay - Ile de France, Orsay, France, Intrasense SAS, Montpellier, France;Département de Neurochirurgie, Hopital Gui de Chauliac, CHU Montpellier, France;Intrasense SAS, Montpellier, France;Center for Visual Computing, Ecole Centrale Paris, Chatenay Malabry, France, Equipe GALEN, INRIA Saclay - Ile de France, Orsay, France
Venue:
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Year:
2012

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Abstract

In this paper we propose a novel graph-based concurrent registration and segmentation framework. Registration is modeled with a pairwise graphical model formulation that is modular with respect to the data and regularization term. Segmentation is addressed by adopting a similar graphical model, using image-based classification techniques while producing a smooth solution. The two problems are coupled via a relaxation of the registration criterion in the presence of tumors as well as a segmentation through a registration term aiming the separation between healthy and diseased tissues. Efficient linear programming is used to solve both problems simultaneously. State of the art results demonstrate the potential of our method on a large and challenging low-grade glioma data set.