首页> 外国专利> Tissue characteristic e.g. tumor/object's position classification method for e.g. large intestine of patient, involves dividing organ into sections based on characteristics of line, and assigning tissue characteristic and object to sections

Tissue characteristic e.g. tumor/object's position classification method for e.g. large intestine of patient, involves dividing organ into sections based on characteristics of line, and assigning tissue characteristic and object to sections

机译:组织特征例如肿瘤/物体的位置分类方法,例如患者的大肠,涉及根据线条的特征将器官分为多个部分,并将组织特征和对象分配给这些部分

摘要

The method involves determining a form line (19) of a hollow organ (17) e.g. large intestine, based on image data of the hollow organ, and extracting characteristics of the form line. The hollow organ is divided into sections based on the characteristics of the form line. A tissue characteristic and an object are assigned to one of the sections. The image data of the hollow organ is obtained by a computer tomography method or a magnet resonance tomography method. The image data of the hollow organ is segmented from volume image data of a region having the hollow organ. Independent claims are also included for the following: (1) a device for automatic position classification of a tissue characteristic and/or object in a hollow organ (2) a computer program product comprising a set of instructions for performing a method for automatic position classification of a tissue characteristic and/or object in a hollow organ.
机译:该方法包括确定中空器官(17)的外形线(19),例如大肠,基于中空器官的图像数据并提取成型线的特征。根据成型线的特征将中空器官分为多个部分。将组织特征和对象分配给这些部分之一。中空器官的图像数据通过计算机断层摄影方法或磁共振断层摄影方法获得。从具有中空器官的区域的体图像数据中分割出中空器官的图像数据。还包括以下方面的独立权利要求:(1)用于对中空器官中的组织特征和/或对象进行自动位置分类的设备(2)计算机程序产品,该计算机程序产品包括一组指令,用于执行自动位置分类的方法中空器官的组织特征和/或物体的特征。

著录项

  • 公开/公告号DE102007046452A1

    专利类型

  • 公开/公告日2009-04-23

    原文格式PDF

  • 申请/专利权人 SIEMENS AG;

    申请/专利号DE20071046452

  • 发明设计人 GUENDEL LUTZ;

    申请日2007-09-28

  • 分类号A61B19;A61B6/03;A61B5/055;A61B6/12;G06T15;

  • 国家 DE

  • 入库时间 2022-08-21 19:09:36

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