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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稳健分割的系统和方法

摘要

A method for segmenting tubular structures in medical images includes providing (62) at least a start point and an end point in a digital image volume, minimizing (63) 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 (64) on the minimal action surface from an end point to the start point to find a minimal path connecting the terminal points, initializing(65) a level set function with points on the minimal path, and evolving (66) 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(62)起点和终点;最小化(63)在每个图像点p对应于其的作用表面U0(p)。沿着从起点p0到终点p的路径积分的最小能量,在最小作用面上从端点向起点向后滑动(64),找到连接端点的最小路径,进行初始化(65)具有在最小路径上的点的水平集函数,并且演化(66)该水平集函数以找到关于最小路径的结构的表面,其中该水平集函数被约束为接近带符号的距离函数,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。

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