MRA segmentation using active contour models
    1.
    发明授权
    MRA segmentation using active contour models 失效
    使用主动轮廓模型进行MRA分割

    公开(公告)号:US06718054B1

    公开(公告)日:2004-04-06

    申请号:US09602701

    申请日:2000-06-23

    IPC分类号: G06K900

    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 v t = λ ⁢   ⁢ ( ∇ v ⁢   ⁢ ( x , t ) , ∇ 2 ⁢ v ⁢   ⁢ ( x , t ) ) + g ′ g ⁢   ⁢ ∇ v ⁢   ⁢ ( x , t ) · H ⁢   ⁢ ∇ I &LeftBracketingBar; ∇ I &RightBracketingBar; , 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.

    摘要翻译: 提供诸如MRA图像的体积三维图像数据集的分割的方法和系统。 最初,输入三维MRA音量。 然后通过对输入进行阈值来产生初始表面S. 然后生成带符号距离函数v到S,其中v = v(x,t),S是v(。,0)的零电平集合。 该过程通过根据更新在收敛处终止或由操作者确定来迭代地更新v来进行。 然后将S'定义为当前距离函数v'的零级集合,并将v'重新初始化为与S'的距离函数。 体积被不断迭代地更新,使得获得最终距离函数v。 从该体积获得的第一个输出是MRA数据中的血管的分割,通过计算v的零水平集获得。