椭球骨架在医学上的应用

F. Banégas, M. Jaeger, D. Michelucci, Marc Roelens
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引用次数: 30

摘要

通过计算机断层扫描或磁共振成像获得的粗糙的三维数据图像是不够的:本文提出了一种称为椭球体骨架的高级数据结构。它是基于树的最佳分区点集和特征数据压缩,多层次表示能力,表面重建,交互式可视化,相关参数提取,自动匹配和识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The ellipsoidal skeleton in medical applications
Rough 3D data images obtained by computed tomography or magnetic resonance imagery are inadequate: this paper proposes a high-level data structure called ellipsoidal skeleton. It is based on a tree of best partitions of the points set and features data compression, multi-level representation capabilities, surface reconstruction, interactive visualization, relevant parameters extraction, automatic matching and recognition.
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