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Multimodal MRI segmentation of ischemic stroke lesions.

Author information

1
INSERM U836-UJF-CEA-CHU, Grenoble Institute of Neuroscience. yacine.kabir@imag.fr

Abstract

The problem addressed in this paper is the automatic segmentation of stroke lesions on MR multi-sequences. Lesions enhance differently depending on the MR modality and there is an obvious gain in trying to account for various sources of information in a single procedure. To this aim, we propose a multimodal Markov random field model which includes all MR modalities simultaneously. The results of the multimodal method proposed are compared with those obtained with a mono-dimensional segmentation applied on each MRI sequence separately. We constructed an Atlas of blood supply territories to help clinicians in the determination of stroke subtypes and potential functional deficit.

PMID:
18002276
PMCID:
PMC2735153
DOI:
10.1109/IEMBS.2007.4352610
[Indexed for MEDLINE]
Free PMC Article

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