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首页> 外文会议>SPIE Conference on Biomedical Applications in Molecular, Structural, and Functional Imaging >Effect of registration on corpus callosum population differencesfound with DBM analysis
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Effect of registration on corpus callosum population differencesfound with DBM analysis

机译：注册对胼um群体的影响差异与DBM分析

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Deformation Based Morphometry (DBM) is a relatively new method used for characterizing anatomical differences among populations. DBM is based on the analysis of the deformation fields generated by non-rigid registration algorithms, which warp the individual volumes to one standard coordinate system. Although several studies have compared non-rigid registration algorithms for segmentation tasks, few studies have compared the effect of the registration algorithm on population differences that may be uncovered through DBM. In this study, we compared DBM results obtained with five well established non-rigid registration algorithms on the corpus callosum (CC) in thirteen subjects with Williams Syndrome (WS) and thirteen Normal Control (NC) subjects. The five non-rigid registration algorithms include: (1) The Adaptive Basis Algorithm (ABA); (2) Image Registration Toolkit (IRTK); (3) FSL Nonlinear Image Registration Tool (FSL); (4) Automatic Registration Tools (ART); and (5) the normalization algorithm available in SPM8. For each algorithm, the 3D deformation fields from all subjects to the atlas were obtained and used to calculate the Jacobian determinant (JAC) at each voxel in the mid-sagittal slice of the CC. The mean JAC maps for each group were compared quantitatively across different nonrigid registration algorithms. An ANOVA test performed on the means of the JAC over the Genu and the Splenium ROIs shows the JAC differences between nonrigid registration algorithms are statistically significant over the Genu for both groups and over the Splenium for the NC group. These results suggest that it is important to consider the effect of registration when using DBM to compute morphological differences in populations.
机译：基于变形的形态（DBM）是一种相对较新的方法，用于表征群体之间的解剖学差异。 DBM基于非刚性登记算法生成的变形场的分析，该算法将各个卷扭曲到一个标准坐标系。尽管有几项研究比较了分割任务的非刚性登记算法，但很少有研究已经比较了登记算法对可以通过DBM揭露的群体差异的影响。在这项研究中，我们将在13个受试者中，在具有威廉姆斯综合征（WS）和13个正常对照（NC）受试者的三个受试者中，将获得的DBM结果与五个良好的非刚性登记算法中获得的DBM结果进行了比较。五个非刚性登记算法包括：（1）自适应基础算法（ABA）; （2）图像登记工具包（IRTK）; （3）FSL非线性图像配准工具（FSL）; （4）自动注册工具（艺术品）; （5）SPM8中可用的标准化算法。对于每种算法，获得了来自所有受试者的3D变形场，并用于在CC中矢状切片中的每个体素处计算每个体素的Jacobian确定剂（Jac）。每组的平均JAC地图在不同的非抗ig配准算法上定量比较。对JAC的手段进行了一个ANOVA测试，在NAW NAW和脾脏ROIS上显示了非曲线注册算法之间的JAC差异，对NC组的脾均值和脾脏均有统计学意义。这些结果表明，在使用DBM计算人口中的形态差异时，重要的是考虑注册的效果。

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