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Framework for Abnormality Detection in Multi-Contrast Brain Magnetic Resonance Data
专利权人:
发明人:
Hasan E. Cetingul,Benjamin L. Odry,Mariappan S. Nadar
申请号:
US14854330
公开号:
US20170071470A1
申请日:
2015.09.15
申请国别(地区):
US
年份:
2017
代理人:
摘要:
A computer-implemented method for identifying abnormalities in Magnetic Resonance (MR) brain image data includes a computer receiving multi-contrast MR image data of a subjects brain and identifying, within the multi-contrast MR image data, (i) an abnormality region comprising one or more suspected abnormalities and (ii) a healthy region comprising healthy tissue. The computer creates a model of the healthy region, computes a novelty score for each voxel in the multi-contrast MR image data based on the abnormality region and the model, and creates an abnormality map of the subjects brain based on the novelty score computed for each voxel in the multi-contrast MR image data.
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