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1. 发明授权

US07680312B2 Method for knowledge based image segmentation using shape models 有权
标题翻译：使用形状模型的基于知识的图像分割方法
公开(公告)号：US07680312B2
公开(公告)日：2010-03-16
申请号：US11429685
申请日：2006-05-08
申请人： Marie-Pierre Jolly , Nikolaos Paragios , Maxime G. Taron
发明人： Marie-Pierre Jolly , Nikolaos Paragios , Maxime G. Taron
IPC分类号： G06K9/34 , G06K9/46
CPC分类号： G06T7/155 , G06T7/12 , G06T7/149 , G06T2207/10088 , G06T2207/20081 , G06T2207/30016
摘要： A method for segmenting an object of interest from an image of a patient having such object. Each one of a plurality of training shapes is distorted to overlay a reference shape with a parameter Θi being a measure of the amount of distortion required to effect the overlay. A vector of the parameters Θi is obtained for every one of the training shapes through the minimization of a cost function along with an estimate of uncertainty for every one of the obtained vectors of parameters Θi, such uncertainty being quantified as a covariance matrix Σi. A statistical model represented as {circumflex over (f)}H (Θ,Σ) is generated with the sum of kernels having a mean Θi and covariance Σi. The desired object of interest in the image of the patient is identified by positioning of the reference shape on the image and distorting the reference shape to overlay the obtained image with a parameter Θ being a measure of the amount of distortion required to effect the overlay. An uncertainty is quantified as a covariance matrix Σ and an energy function E=Eshape+Eimage is computed to obtain the probability of the current shape in the statistical shape model Eshape(Θ,Σ)=−log({circumflex over (f)}H) and the fit in the image Eimage.
摘要翻译：一种用于从具有该对象的患者的图像中分割感兴趣对象的方法。多个训练形状中的每一个被扭曲以覆盖参考形状，参数Θi是影响覆盖所需的扭曲量的量度。通过使成本函数的最小化以及对于所获得的参数Θi的每一个的不确定性的估计，对每个训练形状获得参数Θi的向量，这样的不确定性被量化为协方差矩阵Sgr i 。使用具有平均值Θi和协方差Sgr i的内核的总和来生成表示为{f（f）} H（Θ，＆Sgr;）中的回归的统计模型。通过将参考形状定位在图像上并使参考形状变形以使得所获得的图像重叠，以参数Θ作为影响覆盖所需的失真量的度量来识别期望的患者图像对象。不确定性被量化为协方差矩阵＆Sgr; 并且计算能量函数E = Eshape + Eimage，以获得统计形状模型中的当前形状的概率Eshape（Θ，＆Sgr;）= - log（{f（f）} H）和图像中的拟合 Eimage。

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