Reconstruction and topological cleaning of brain MR Images

Sylvain Gerbaud, S. Horna, R. Zrour, Mathieu Naudin, C. Guillevin, P. Meseure
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Abstract

This paper presents a new approach for topological classification and cleaning of 3D model in medical images that respects a desired topology. First a Marching Cubes-based method is applied on segmented MR Images providing thus a closed surface mesh. A topological structure (Gmap) allowing to control the topology is then generated. Lastly a classification and correction based on specific characteristics relative to volumes, such as the number of faces or exact volume size is done. This topological structure permits to handle and manage topological, geometrical and medical information inside a healthy brain and even for a brain with a tumor or a lesion.
脑磁共振图像的重建与拓扑清理
本文提出了一种新的医学图像拓扑分类和三维模型清洗的方法,该方法符合所需的拓扑结构。首先,将基于移动立方体的方法应用于分割的MR图像,从而提供一个封闭的表面网格。然后生成允许控制拓扑的拓扑结构(Gmap)。最后,根据相对于体积的特定特征(如面数或确切的体积大小)进行分类和校正。这种拓扑结构允许处理和管理健康大脑内的拓扑、几何和医学信息,甚至是有肿瘤或病变的大脑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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