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Metabolic Visualization and Intelligent Shape Analysis of the Hippocampus

机译:海马的代谢可视化和智能形状分析

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摘要

This paper suggests a prototype system for visualization and analysis of anatomic shape and functional features of the hippocampus. Based on the result of MR-SPECT multi-modality image registration, anatomical and functional features of hippocampus are extracted from MR and registered SPECT images, respectively. The hippocampus is visualized in 3D by applying volume rendering to hippocampus volume data extracted from the MR image with color coded by registered SPECT image. In order to offer the objective and quantitative data concerning to the anatomic shape and functional features of the hippocampus, the geometric volume and the SPECT intensity histogram of hippocampus regions are automatically measured based on the MR and the registered SPECT image, respectively. We also propose a new method for the analysis of hippocampal shape using an integrated Octree-based representation, consisting of meshes, voxels, and skeletons.
机译:本文提出了一个原型系统,用于可视化和分析海马的解剖形状和功能特征。基于MR-SPECT多模态图像配准的结果,分别从MR和配准的SPECT图像中提取海马的解剖学和功能特征。通过将体积渲染应用于从MR图像中提取的海马体数据(具有由注册的SPECT图像编码的颜色),可以在3D中可视化海马体。为了提供有关海马的解剖形状和功能特征的客观和定量数据,分别基于MR和注册的SPECT图像自动测量海马区的几何体积和SPECT强度直方图。我们还提出了一种新的分析海马形状的方法,该方法使用基于Octree的集成表示法,包括网格,体素和骨骼。

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