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OASIS: Automated brain lesion detection using cross-sectional multimodal magnetic resonance imaging
This invention is a novel statistical method for automatically detecting lesions in cross-sectional brain magnetic resonance imaging (MRI) studies. OASIS uses multimodal MRI from one image acquisition session and produces voxel-level probability maps of the brain that quantifies the likelihood that each voxel is part of a lesion. Binary lesion segmentations...
Published: 10/28/2024   |   Inventor(s): Ciprian Crainiceanu, Elizabeth Sweeney, Russell Shinohara, Arthur Goldsmith, Navid Shiee, Dzung Pham, Daniel Reich
Keywords(s): Automated, brain, CNRM CRADA, Cross, Detection, IMAGING, Lesion, Listed LPM Shmilovich as of 4/15/2015, Magnetic, MULTIMODALITY, OASIS:, Post LPM Assignment Set 20150420, Pre LPM working set 20150418, Resonance, SECTIONAL, software, VEXXXX, WBXXXX, WIXXXX, XFXXXX
Category(s): Collaboration Sought > Licensing, Application > Medical Devices, Application > Research Materials, Application > Software / Apps, Application > Diagnostics, Application > Non-Medical Devices, TherapeuticArea > Neurology