STREM: a robust multidimensional parametric method to segment MS lesions in MRI

Authors:
L. S. Aït-Ali;S. Prima;P. Hellier;B. Carsin;G. Edan;C. Barillot
Affiliations:
IRISA Campus Universitaire Beaulieu, Rennes, France;IRISA Campus Universitaire Beaulieu, Rennes, France;IRISA Campus Universitaire Beaulieu, Rennes, France;CHRU Pontchaillou, Rennes, France;CHRU Pontchaillou, Rennes, France;IRISA Campus Universitaire Beaulieu, Rennes, France
Venue:
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Year:
2005

Citing 2
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Abstract

We propose to segment Multiple Sclerosis (MS) lesions overtime in multidimensional Magnetic Resonance (MR) sequences. We use a robust algorithm that allows the segmentation of the abnormalities using the whole time series simultaneously and we propose an original rejection scheme for outliers. We validate our method using the BrainWeb simulator. To conclude, promising preliminary results on longitudinal multi-sequences of clinical data are shown.