Analysis of scoliosis trunk deformities using ICA

Mathias M. Adankon, J. Dansereau, H. Labelle, F. Cheriet
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引用次数: 2

Abstract

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.
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应用ICA分析脊柱侧凸躯干畸形
本文介绍了一种利用独立分量分析(ICA)分析脊柱侧凸躯干畸形的方法。我们的假设是ICA可以捕捉到躯干上可见的脊柱侧凸畸形。与主成分分析(PCA)不同,ICA给出局部形状变化,并假设数据分布不是正态分布。采用ICA对28例青少年特发性脊柱侧凸患者和28例健康受试者的56例三维躯干图像进行分析。首先,我们注意到独立分量捕获局部脊柱侧凸畸形,如肩部变异,肩胛骨不对称和腰部变形。其次,我们注意到不同的脊柱侧凸曲线类型具有特定独立成分的不同组合特征。
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