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Abstract #3244

Voxel Based Analysis of 3D Double Inversion Recovery for the Detection of Cortical Abnormalities in Drug Resistant Epilepsy

Elise Bannier1, 2, Camille Maumet1, 2, Anca Pasnicu3, Jean-Christophe Ferr, 24, Eduardo Pasqualini5, Arnaud Biraben6, Jean-Yves Gauvrit, 24

1Neurinfo MR imaging platform, University of Rennes, Rennes, France; 2INRIA, VisAGeS Project-Team, Rennes, France; 3CHU Rennes, Fuctionnal Explorations Department, Rennes, France; 4CHU Rennes, Neuroradiology Department, Rennes, France; 5CHU Rennes, Neurosurgery Department, Rennes, France; 6CHU Rennes, Neurology Department, Rennes, France; 7INSERM, U746, Rennes, France

In this study we propose to evaluate, at 3T, using voxel based analysis the ability of 9-minute Double Inversion Recovery to detect cortical and juxtacortical lesions in drug resistant epileptic patients.

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Keywords

ability abnormalities abnormally additional alternate assisted automatically blobs blurred blurry brain cause channel coil computer consisted control cortical criteria delineation detect detected detecting detection difficult distance double drug epilepsy epileptic evaluate explorations extension female fluid focal frameworks frontal general gray head healthy identification identify illustrated important improve improved indication individual intensity inversion investigate issue jean joint journal junction lesion lesions linear little localization locations maps materials minute model modulated moreover nelson neurology neurosurgery normalization nulling occult outline patient patients platform potential precise preprocessing probability processed project propose proposed protocol reader recognized recovery registration release relies resistant scanned scanner sclerosis segmentation segmented sensitivity several smoothing software sometimes spatial specificity structures studies subject subjects suggest surgery team temporal tomography undertaken visages visual white women zone