US Patent:
20160239969, Aug 18, 2016
Inventors:
- Philadelphia PA, US
Ke Zeng - Philadelphia PA, US
Ali Guray Erus - Philadelphia PA, US
International Classification:
G06T 7/00
Abstract:
Methods, systems, and computer readable media for automated detection of abnormalities in medical images are disclosed. According to a method for automated abnormality detection, the method includes receiving a target image. The method also includes deformably registering to the target image or to a common template a subset of normative images from a plurality of normative images, wherein the subset of normative images is associated with a normal variation of an anatomical feature. The method further includes defining a dictionary using the subset of normative images. The method also includes decomposing, using sparse decomposition and the dictionary, the target image. The method further includes classifying one or more voxels of the target image as normal or abnormal based on results of the sparse decomposition.
