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Analysis of scoliosis trunk deformities using ICA

机译:脊柱侧弯畸形的ICA分析

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This paper describes a method for analyzing scoliosis trunk deformities using Independent Component Analysis (ICA). Our hypothesis is that ICA can capture the scoliosis deformities visible on the trunk. Unlike Principal Component Analysis (PCA), ICA gives local shape variation and assumes that the data distribution is not normal. 3D torso images of 56 subjects including 28 patients with adolescent idiopathic scoliosis and 28 healthy subjects are analyzed using ICA. First, we remark that the independent components capture the local scoliosis deformities as the shoulder variation, the scapula asymmetry and the waist deformation. Second, we note that the different scoliosis curve types are characterized by different combinations of specific independent components.
机译:本文介绍了一种使用独立分量分析(ICA)分析脊柱侧弯主干畸形的方法。我们的假设是,ICA可以捕获躯干上可见的脊柱侧弯畸形。与主成分分析(PCA)不同,ICA提供局部形状变化并假定数据分布不正常。使用ICA分析了56名受试者的3D躯干图像,包括28名青少年特发性脊柱侧弯患者和28名健康受试者。首先,我们注意到独立的成分会捕获局部脊柱侧凸畸形,如肩部变化,肩骨不对称和腰部变形。其次,我们注意到,不同的脊柱侧弯曲线类型的特征在于特定独立成分的不同组合。

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