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DECODING PATIENT CHARACTERISTICS AND BRAIN STATE FROM MAGNETIC RESONANCE IMAGING DATA

机译:从磁共振成像数据中识别患者的特征和大脑状态

摘要

A computer-implemented method for decoding patient characteristics and brain state from multi-modality brain imaging data includes receiving a plurality of brain imaging datasets comprising brain imaging data corresponding to plurality of subjects. The brain imaging datasets are aligned to a common reference space and quantitative measures are extracted from each brain imaging dataset. Non-imaging characteristics corresponding to each subject are received and a forward model is trained to map the plurality of characteristics to the quantitative measures.
机译:一种用于从多模态脑成像数据中解码患者特征和脑部状态的计算机实现的方法,包括:接收多个脑成像数据集,其中包括与多个对象相对应的脑成像数据。将脑成像数据集与公共参考空间对齐,并从每个脑成像数据集中提取定量度量。接收与每个对象相对应的非成像特征,并且训练正向模型以将多个特征映射到定量度量。

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