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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