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Framework for Abnormality Detection in Multi-Contrast Brain Magnetic Resonance Data
Framework for Abnormality Detection in Multi-Contrast Brain Magnetic Resonance Data
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机译:多对比度脑磁共振数据异常检测的框架
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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 subject's 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 subject's brain based on the novelty score computed for each voxel in the multi-contrast MR image data.
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