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Systems and methods for automatic robust anatomy detection through local voting and prediction

机译:通过局部投票和预测自动进行鲁棒解剖结构检测的系统和方法

摘要

A method for performing a medical imaging study includes acquiring a preliminary scan. A set of local feature candidates is automatically detected from the preliminary scan. The accuracy of each local feature candidate is assessed using multiple combinations of the other local feature candidates and removing a local feature candidate that is assessed to have the lowest accuracy. The assessing and removing steps are repeated until only a predetermined number of local feature candidates remain. A region of interest (ROI) is located from within the preliminary scan based on the remaining predetermined number of local feature candidates. A medical imaging study is performed based on the location of the ROI within the preliminary scan.
机译:用于执行医学成像研究的方法包括获取初步扫描。从初步扫描中自动检测出一组局部特征候选者。使用其他局部特征候选者的多个组合并去除评估为具有最低准确性的局部特征候选者来评估每个局部特征候选者的准确性。重复评估和去除步骤,直到仅剩余预定数量的局部特征候选者为止。基于剩余的预定数量的局部特征候选者,从初步扫描内定位感兴趣区域(ROI)。根据初步扫描中ROI的位置执行医学成像研究。

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