首页> 外国专利> AUTO-CALIBRATION OF PROBABILISTIC TRACKING PARAMETERS FOR DTI FIBRE TRACTOGRAPHY AND COMPILATION OF TRACT PROBABILITY COMPARISON SCALES

AUTO-CALIBRATION OF PROBABILISTIC TRACKING PARAMETERS FOR DTI FIBRE TRACTOGRAPHY AND COMPILATION OF TRACT PROBABILITY COMPARISON SCALES

机译:DTI纤维谱图的概率跟踪参数的自动校准和交易概率比较标度的编辑

摘要

1. A medical data processing method of determining information describing the probable position of a neural fiber in a patient's brain, the method comprising the following steps which are constituted to be executed by a computer: a) acquiring patient-specific medical image data describing the brain of the patient; b) acquiring atlas data defining an image-based model of a human brain; c) determining, based on the patient-specific medical image data and the atlas data, seed region data describing seed regions (A, B) in the patient-specific medical image data in which the ends of neural fibers of the patient's brain may be located; d) determining, based on the patient-specific medical image data and the seed region data, neural fiber tract data describing a plurality of potential tracts (T1, T2, T3) which a specific neural fiber may take through the patient's brain; e) determining, based on the atlas data and the neural fiber tract data, a figure of merit for each one of the potential tracts (T1, T2, T3).
机译:1.一种用于确定描述神经纤维在患者大脑中的可能位置的信息的医学数据处理方法,该方法包括以下步骤,其由计算机执行:a)获取描述患者神经的特定于患者的医学图像数据患者的大脑; b)获取定义人脑基于图像的模型的图集数据; c)基于患者特定医学图像数据和图谱数据,确定描述患者特定医学图像数据中的种子区域(A,B)的种子区域数据,其中患者大脑神经纤维的末端可以位于其中。位于; d)基于患者特定的医学图像数据和种子区域数据,确定描述特定神经纤维可穿过患者的大脑的多个潜在区域(T1,T2,T3)的神经纤维区域数据; e)根据图集数据和神经纤维束数据确定每个潜在束(T1,T2,T3)的品质因数。

著录项

  • 公开/公告号EP3195252B1

    专利类型

  • 公开/公告日2019-11-20

    原文格式PDF

  • 申请/专利权人 BRAINLAB AG;

    申请/专利号EP20140771256

  • 发明设计人 VÁRKUTI BÁLINT;LACHNER RAINER;

    申请日2014-09-16

  • 分类号A61B5;A61B5/055;G01R33/48;G06T7/60;G06T7/73;G06T7/11;G06T7/143;G06T7/149;G06T7/246;G06T7;

  • 国家 EP

  • 入库时间 2022-08-21 11:40:36

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