Deformable registration of brain tumor images via a statistical model of tumor-induced deformation
Deformable registration of brain tumor images via a statistical model of tumor-induced deformation
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DOI：
10.1016/j.media.2006.06.005
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发表时间：
2006-10-01
影响因子：
10.9
通讯作者：
Davatzikos, Christos
中科院分区：
文献类型：
--
作者：
Mohamed, Ashraf;Zacharaki, Evangelia I.;Davatzikos, Christos
提出了一种将三维脑肿瘤图像与正常脑图谱进行形变配准的方法。该方法包括三个组成部分的集成：肿瘤质量效应的生物力学模型，估计模型参数的统计方法，和变形图像配准方法。首先通过对正常脑图像的肿瘤质量效应模拟来获得从图谱到肿瘤患者图像的所寻求的变形图的统计特性。该图被分解为正交子空间中的两个分量的和，一个表示脑形状的个体间差异，另一个表示肿瘤引起的变形。对于新的肿瘤病例，通过可变形图像配准获得所寻求的变形图的部分观察，并将其分解到上述空间中，以估计质量效应模型参数。使用该估计，在图谱图像上执行肿瘤质量效应的模拟，以便生成与肿瘤患者的图像相似的图像，从而促进图谱配准过程。一个真实的肿瘤病例和一些模拟肿瘤病例的结果表明，由于所提出的方法相比，直接使用的变形图像配准的配准误差显着减少。(C)2006 Elsevier B.V.保留所有权利。
An approach to the deformable registration of three-dimensional brain tumor images to a normal brain atlas is presented. The approach involves the integration of three components: a biomechanical model of tumor mass-effect, a statistical approach to estimate the model's parameters, and a deformable image registration method. Statistical properties of the sought deformation map from the atlas to the image of a tumor patient are first obtained through tumor mass-effect simulations on normal brain images. This map is decomposed into the sum of two components in orthogonal subspaces, one representing inter-individual differences in brain shape, and the other representing tumor-induced deformation. For a new tumor case, a partial observation of the sought deformation map is obtained via deformable image registration and is decomposed into the aforementioned spaces in order to estimate the mass-effect model parameters. Using this estimate, a simulation of tumor mass-effect is performed on the atlas image in order to generate an image that is similar to tumor patient's image, thereby facilitating the atlas registration process. Results for a real tumor case and a number of simulated tumor cases indicate significant reduction in the registration error due to the presented approach as compared to the direct use of deformable image registration. (C) 2006 Elsevier B.V. All rights reserved.