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METHOD AND SYSTEM FOR MACHINE LEARNING BASED SEGMENTATION OF CONTRAST FILLED CORONARY ARTERY VESSELS ON MEDICAL IMAGES

机译:基于机器学习的冠状动脉造影图像分割的方法和系统

摘要

A computer-implemented method for autonomous segmentation of contrast-filled coronary artery vessels, the method comprising the following steps: receiving (101) an x-ray angiography scan representing a maximum intensity projection of a region of anatomy that includes the coronary vessels on the imaging plane; preprocessing (102) the scan to output a preprocessed scan; and performing autonomous coronary vessel segmentation (103) by means of a trained convolutional neural network (CNN) that is trained to process the preprocessed scan data to output a mask denoting the coronary vessels.
机译:一种用于计算机自动实现的造影剂填充冠状动脉的自动分割方法,该方法包括以下步骤:接收( 101 )表示解剖区域最大强度投影的X射线血管造影扫描包括成像平面上的冠状血管;对扫描进行预处理( 102 )以输出预处理的扫描;然后通过训练后的卷积神经网络(CNN)进行自主的冠状动脉血管分割( 103 ),该网络经过训练后可以处理预处理的扫描数据,以输出表示冠状动脉的面罩。

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