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Discriminative analysis of skull morphology in adolescent idiopathic scoliosis patients: Comparative study with normal controls

机译:青少年特发性脊柱侧凸患者颅骨形态的判别分析:与正常对照的比较研究

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Statistical morphometric analysis is used in this paper to assess the skull morphological difference in adolescent idiopathic scoliosis (AIS) patients as compared with normal controls. The skull morphology analysis starts from a 3-D segmentation of the skull in MRI data using the adaptive thresholding and mathematical morphological operations. The skull vault is then separated from the whole skull surface using a demarcation plane determined by three anthropometrically meaningful landmarks. Since the segmented skull surface is not sufficiently smooth, which will introduce errors in the subsequent shape description, we devise a surface smoothing method to improve the quality of the skull surface. This mesh smoothing task is formulated as a quadratic optimization problem, in which the objective function is designed to be a linear combination of the shape term and the smoothing term, thus it overcomes the shrinkage problem in the traditional Laplacian smoothing. A spherically uniform sampling on the smoothed skull surface is per-formed afterwards. The scale-normalized distances from the skull vault centroid to the sample points are defined as features, on which the recursive feature elimination strategy is applied to select the features that contribute most to the classification of AIS patients and normal controls using the support vector machine. The results of this study quantify the skull vault surface changes and provide new evidence of bone formation abnormality in AIS patients. (c) 2008 Elsevier Ltd. All rights reserved.
机译:本文使用统计形态计量学分析来评估与正常对照相比,青少年特发性脊柱侧凸(AIS)患者的颅骨形态差异。颅骨形态分析从MRI数据中的颅骨3-D分割开始,使用自适应阈值和数学形态学运算。然后使用由三个人体测量学上有意义的界标确定的分界平面将头骨库与整个头骨表面分离。由于分割的颅骨表面不够光滑,这将在随后的形状描述中引入错误,因此我们设计了一种表面平滑方法来改善颅骨表面的质量。该网格平滑任务被表述为二次优化问题,其中目标函数被设计为形状项和平滑项的线性组合,从而克服了传统拉普拉斯平滑中的收缩问题。然后在光滑的头骨表面上进行球形均匀采样。从头骨穹顶质心到样本点的尺度归一化距离定义为特征,使用支持向量机在其上应用递归特征消除策略来选择对AIS患者分类和正常对照贡献最大的特征。这项研究的结果量化了颅顶表面的变化,并为AIS患者的骨形成异常提供了新的证据。 (c)2008 Elsevier Ltd.保留所有权利。

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