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首页> 外文会议>Conference on imaging processing >Landmark Based Shape Analysis for Cerebellar Ataxia Classification and Cerebellar Atrophy Pattern Visualization
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Landmark Based Shape Analysis for Cerebellar Ataxia Classification and Cerebellar Atrophy Pattern Visualization

机译：基于地标的形状分析用于小脑共济失调分类和小脑萎缩模式的可视化

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Cerebellar dysfunction can lead to a wide range of movement disorders. Studying the cerebellar atrophy pattern associated with different cerebellar disease types can potentially help in diagnosis, prognosis, and treatment planning. In this paper, we present a landmark based shape analysis pipeline to classify healthy control and different ataxia types and to visualize the characteristic cerebellar atrophy patterns associated with different types. A highly informative feature representation of the cerebellar structure is constructed by extracting dense homologous landmarks on the boundary surfaces of cerebellar sub-structures. A diagnosis group classifier based on this representation is built using partial least square dimension reduction and regularized linear discriminant analysis. The characteristic atrophy pattern for an ataxia type is visualized by sampling along the discriminant direction between healthy controls and the ataxia type. Experimental results show that the proposed method can successfully classify healthy controls and different ataxia types. The visualized cerebellar atrophy patterns were consistent with the regional volume decreases observed in previous studies, but the proposed method provides intuitive and detailed understanding about changes of overall size and shape of the cerebellum, as well as that of individual lobules.
机译：小脑功能障碍可导致多种运动障碍。研究与不同小脑疾病类型相关的小脑萎缩模式可能有助于诊断，预后和治疗计划。在本文中，我们提出了一种基于地标的形状分析管道，以对健康控制和不同的共济失调类型进行分类，并可视化与不同类型相关的特征性小脑萎缩模式。通过提取小脑子结构边界表面上的致密同源地标，构建了小脑结构的高度有用的特征表示。使用部分最小二乘维数约简和正则化线性判别分析，可以建立基于此表示的诊断组分类器。通过沿着健康对照和共济失调类型之间的判别方向进行采样，可以看到共济失调类型的特征性萎缩模式。实验结果表明，该方法可以成功地对健康对照和共济失调类型进行分类。可视化的小脑萎缩模式与先前研究中观察到的区域体积减少是一致的，但是所提出的方法对小脑的整体大小和形状以及单个小叶的变化提供了直观而详细的了解。

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