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Method and system for automatic native and bypass coronary ostia detection in cardiac computed tomography volumes

机译:在心脏计算机断层摄影术体积中自动进行自然和旁路冠状动脉口检测的方法和系统

摘要

A method and system for detection of native and bypass coronary ostia in a 3D volume, such as a CT volume, is disclosed. Native coronary ostia are detected by detecting a bounding box defining locations of a left native coronary ostium and a right native coronary ostium in the 3D volume using marginal space learning (MSL), and locally refining the locations of the left native coronary ostium and the right native coronary ostium using a trained native coronary ostium detector. Bypass coronary ostia are detected by segmenting an ascending aorta surface mesh in the 3D volume, generating a search region of a plurality of mesh points on the ascending aorta surface mesh based on a distribution of annotated bypass coronary ostia in a plurality of training volumes, and detecting the bypass coronary ostia by searching the plurality of mesh points in the search region.
机译:公开了一种用于在诸如CT体积的3D体积中检测天然和旁路冠状动脉口的方法和系统。通过使用边界空间学习(MSL)检测定义3D体积中的左天然冠状动脉口和右天然冠状动脉口的位置的边界框,并局部精炼左天然冠状动脉口和右侧的位置,从而检测出天然冠状动脉口使用训练有素的天然冠状动脉口检测器检测天然冠状动脉口。通过在3D体积中分割升主动脉表面网格,基于带注释的旁路冠状动脉口在多个训练体积中的分布在升主动脉表面网格上生成多个网格点的搜索区域来检测旁路冠状动脉口;通过在搜索区域中搜索多个网格点来检测旁路冠状动脉口。

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