Vicory Jared, Allemang David, Zukic Dzenan, Prothero Jack, McCormick Matthew, Paniagua Beatriz
Kitware Inc, Carrboro NC 27510, USA.
UNC, USA.
Proc SPIE Int Soc Opt Eng. 2021 Feb;11600. doi: 10.1117/12.2579716. Epub 2021 Feb 15.
Shape analysis is an important and powerful tool in a wide variety of medical applications. Many shape analysis techniques require shape representations which are in correspondence. Unfortunately, popular techniques for generating shape representations do not handle objects with complex geometry or topology well, and those that do are not typically readily available for non-expert users. We describe a method for generating correspondences across a population of objects using a given template. We also describe its implementation and distribution via SlicerSALT, an open-source platform for making powerful shape analysis techniques more widely available and usable. Finally, we show results of this implementation on mouse femur data.
形状分析是广泛的医学应用中的一种重要且强大的工具。许多形状分析技术需要对应的形状表示。不幸的是，用于生成形状表示的流行技术不能很好地处理具有复杂几何形状或拓扑结构的物体，而那些能处理的技术通常非专业用户难以获取。我们描述了一种使用给定模板在一组物体之间生成对应关系的方法。我们还描述了通过SlicerSALT对其进行的实现和分发，SlicerSALT是一个开源平台，旨在使强大的形状分析技术更广泛地可用和易用。最后，我们展示了该实现在小鼠股骨数据上的结果。
