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ANOMALY DETECTION USING MAGNETIC RESONANCE FINGERPRINTING

机译:利用磁共振指纹图谱进行异常检测

摘要

The invention provides for a medical imaging system (100, 300, 500, 600) comprising: a memory (110) for storing machine executable instructions (120); a processor (106) for controlling the medical instrument. Execution of the machine executable instructions causes the processor to: receive (200) MRF magnetic resonance data (122) acquired according to an MRF magnetic resonance imaging protocol of a region of interest (310); reconstruct (202) an MRF vector (124) for each voxel of a set of voxels descriptive of the region of interest using the MRF magnetic resonance data according to the MRF magnetic resonance imaging protocol; calculate (204, 714) a preprocessed MRF vector (126) for each of the set of voxels by applying a predetermined preprocessing routine to the MRF vector for each voxel, wherein the predetermined preprocessing routine comprises normalizing the preprocessed MRF vector for each voxel; calculate (206, 716) an outlier map (130) for the set of voxels by assigning an outlier score (800) to the preprocessed MRF vector using a machine learning algorithm.
机译:本发明提供了一种医学成像系统(100、300、500、600),其包括:存储器(110),用于存储机器可执行指令(120);以及存储器(110)。用于控制医疗器械的处理器(106)。机器可执行指令的执行使处理器:接收(200)根据感兴趣区域的MRF磁共振成像协议获取的MRF磁共振数据(122)(310);根据MRF磁共振成像协议,使用MRF磁共振数据为描述感兴趣区域的一组体素中的每个体素重建(202)MRF矢量(124);通过将预定的预处理例程应用于每个体素的MRF矢量,来计算(204、714)该组体素中的每个体素的预处理的MRF矢量(126),其中预定的预处理例程包括对每个体素的预处理的MRF矢量进行归一化;通过使用机器学习算法将离群值(800)分配给预处理的MRF矢量,来计算(206、716)该组体素的离群图(130)。

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