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MRA SEGMENTATION USING ACTIVE CONTOUR MODELS

机译:使用主动轮廓模型进行MRA分类

摘要

A method and system of providing segmentation of volumetric three-dimensional image data set such as MRA images. Initially, a three-dimensional MRA volume is input. An initial surface S is then generated by thresholding the input. A signed distance function v to S is then generated, where v=v(x,t) and S is the zero level set of v(.,0). The process proceeds by iteratively updating v according to Formula (I) , the updating terminates at convergence or as determined by an operator. S' is then defined to be the zero level set of the current distance function v' and reinitialize v' to be a distance function to S'. The volume is continually iteratively updated such that a final distance function v is obtained. The first output obtained from this volume is a segmentation of vessels in the MRA data, obtained by computing the zero level set of v.
机译:一种提供对三维三维图像数据集(例如MRA图像)进行分割的方法和系统。最初,输入三维MRA体积。然后通过对输入进行阈值化来生成初始表面S。然后生成一个有符号的距离函数v到S,其中v = v(x,t),S是v(<,>,0)的零位集合。该过程通过根据公式(I)迭代更新v来进行,该更新在收敛时或由操作员确定时终止。然后将S'定义为当前距离函数v'的零级集合,并将v'重新初始化为S'的距离函数。持续不断地更新体积,从而获得最终距离函数v。从该体积获得的第一个输出是MRA数据中血管的分割,是通过计算v的零水平集获得的。

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