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2004
IEEE

Hierarchical Segmentation of Multiple Sclerosis Lesions in Multi-Sequence MRI

10 years 2 months ago
Hierarchical Segmentation of Multiple Sclerosis Lesions in Multi-Sequence MRI
Automatic segmentation of multiple sclerosis lesions in magnetic resonance images remains a challenging task. In this study, we present a fully automatic method to extract lesions from multi-sequence MRI (T1, T2, T2 FLAIR, Proton Density) within an EM based probabilistic framework. The method uses the available MRI sequences in a hierarchical, orderly manner. First the T2 FLAIR sequence is used to generate a segmentation of supra-tentorial lesions. Then T2 and T1 lesion loads are computed, providing an insight into lesion structure. A priori anatomical knowledge is incorporated in the form of a probabilistic brain atlas.
Guillaume Dugas-Phocion, Miguel Ángel Gonz&
Added 20 Nov 2009
Updated 20 Nov 2009
Type Conference
Year 2004
Where ISBI
Authors Guillaume Dugas-Phocion, Miguel Ángel González Ballester, Grégoire Malandain, Nicholas Ayache, Christine Lebrun, Stéphane Chanalet, Caroline Bensa
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