SPARC: unified framework for automatic segmentation, probabilistic atlas construction, registration and clustering of brain MR images

Authors:
Annemie Ribbens;Jeroen Hermans;Frederik Maes;Dirk Vandermeulen;Paul Suetens
Affiliations:
Center for Processing Speech and Images, Department of Electrical Engineering, ESAT, Faculty of Engineering Katholieke Universiteit Leuven;Center for Processing Speech and Images, Department of Electrical Engineering, ESAT, Faculty of Engineering Katholieke Universiteit Leuven;Center for Processing Speech and Images, Department of Electrical Engineering, ESAT, Faculty of Engineering Katholieke Universiteit Leuven;Center for Processing Speech and Images, Department of Electrical Engineering, ESAT, Faculty of Engineering Katholieke Universiteit Leuven;Center for Processing Speech and Images, Department of Electrical Engineering, ESAT, Faculty of Engineering Katholieke Universiteit Leuven
Venue:
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Year:
2010

Citing 4
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Semisupervised probabilistic clustering of brain MR images including prior clinical information

MCV'10 Proceedings of the 2010 international MICCAI conference on Medical computer vision: recognition techniques and applications in medical imaging

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Abstract

Automated methods for image segmentation, image registration, clustering of images and probabilistic atlas construction are of great interest in medical image analysis. In this work, we propose a model where these different aspects are combined in one comprehensive probabilistic framework. The framework is formulated as an EM optimization algorithm. Validation is performed on simulated and real images in terms of segmentation, clustering and atlas construction. Accurate segmentations are obtained and the different modes in a population of normal controls and Huntington disease patients are discovered. Furthermore, our method reveals the localization of cluster specific morphological differences for each image in the population.