首页> 外国专利> System and method for robust segmentation of tubular structures in 2D and 3D images

System and method for robust segmentation of tubular structures in 2D and 3D images

机译:在2D和3D图像中对管状结构进行鲁棒分割的系统和方法

摘要

A method for segmenting tubular structures in medical images includes providing at least a start point and an end point in a digital image volume, minimizing an action surface U0(p) which, at each image point p, corresponds to a minimal energy integrated along a path that starts at start point p0 and ends at p, sliding back on the minimal action surface from an end point to the start point to find a minimal path connecting the terminal points, initializing a level set function with points on the minimal path, and evolving the level set function to find a surface of a structure about the minimal path, wherein the level set function is constrained to be close to a signed distance function and wherein the level set function is prevented from growing wider than a predetermined diameter R, wherein the surface about the minimal path defines a tubular structure.
机译:一种用于分割医学图像中的管状结构的方法,该方法包括在数字图像体积中至少提供起点和终点,并最小化在每个图像点p处的作用表面U 0 (p),对应于沿着从起点p 0 到终点p的路径积分的最小能量,从终点到起点在最小作用表面上向后滑动以找到连接该路径的最小路径。端点,用最小路径上的点初始化水平集函数,并发展水平集函数以找到围绕最小路径的结构的表面,其中,水平集函数被约束为接近有符号距离函数,并且其中防止水平设定功能变得比预定直径R宽,其中最小路径周围的表面限定了管状结构。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号