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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.
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Jared Vicory, David Allemang, Dzenan Zukic, Jack Prothero, Matthew McCormick, Beatriz Paniagua, "An open-source solution for shape modeling and analysis of objects of challenging topologies," Proc. SPIE 11600, Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging, 116000K (15 February 2021); https://doi.org/10.1117/12.2579716