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METHOD, DEVICE AND COMPUTER-READABLE MEDIUM FOR AUTOMATICALLY DETECTING A HAEMODYNAMICALLY SIGNIFICANT CORONARY STENOSIS

机译:用于自动检测具有血流动力学意义的冠状动脉狭窄的方法、装置和计算机可读介质

摘要

The invention relates to a computer-implemented method for determining the presence of a coronary stenosis for a patient, comprising a step of receiving at least one curvilinear or stretched multiplanar tomodensitometry (X-ray scan) medical image of said patient including the coronary stenosis, and also a step of detecting said coronary stenosis on said image or on a portion of said image by using a first deep neuronal network. The invention is characterized in that it also comprises a step of predicting a coronary fractional flow reserve (FFR) value range by using a second trained deep neuronal network, applied directly to the images or portions of images detected, and/or by manual, semi-automated and/or automated measurement of at least two morphological criteria chosen from the minimum diameter of the stenosis, the minimum surface area of the stenosis, the maximum degree of coronary stenosis in terms of diameter, the maximum degree of coronary stenosis in terms of surface area, the length of the stenosis and/or the myocardial mass or the myocardial mass and the percentage of myocardial mass downstream of the coronary stenosis.
机译:本发明涉及一种用于确定患者是否存在冠状动脉狭窄的计算机实现方法,包括接收所述患者的至少一个曲线或拉伸多平面断层密度测定(X射线扫描)医学图像的步骤,所述患者包括冠状动脉狭窄,以及通过使用第一深层神经元网络在所述图像或所述图像的一部分上检测所述冠状动脉狭窄的步骤。本发明的特征在于,其还包括通过使用直接应用于检测到的图像或图像的部分的第二训练深度神经元网络,和/或通过从狭窄的最小直径中选择的至少两个形态学标准的手动、半自动和/或自动测量来预测冠状动脉部分血流储备(FFR)值范围的步骤,狭窄的最小表面积、直径方面的最大冠状动脉狭窄程度、表面积方面的最大冠状动脉狭窄程度、狭窄的长度和/或心肌质量或心肌质量,以及冠状动脉狭窄下游心肌质量的百分比。

著录项

  • 公开/公告号EP3973503A1

    专利类型

  • 公开/公告日2022-03-30

    原文格式PDF

  • 申请/专利权人 PAUL JEAN-FRANÇOIS;

    申请/专利号EP20200725200

  • 发明设计人 PAUL JEAN-FRANÇOIS;

    申请日2020-05-18

  • 分类号G06T7;

  • 国家 EP

  • 入库时间 2022-08-25 00:09:55

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