Contour guided surface deformation for volumetric segmentation

M. Holloway, T. Ju, C. Grimm
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Abstract

In clinical practice, when a subject is imaged (i.e. CT scan or MRI) the result is a 3D image of volumetric data. In order to study the organ, bone, or other object of interest, this data needs to be segmented to obtain a 3D model that can be used in any number of down stream applications. When used for treatment planning these segmentations need to not only be accurate but also produced quickly to avoid health risks. Automatic segmentation methods are becoming more reliable but many experts in the scientific community still rely on time consuming manual segmentation.
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轮廓引导曲面变形的体积分割
在临床实践中,当受试者被成像(即CT扫描或MRI)时,结果是体积数据的3D图像。为了研究器官、骨骼或其他感兴趣的对象,需要对这些数据进行分割,以获得可用于任何数量的下游应用程序的3D模型。当用于治疗计划时,这些分段不仅需要准确,而且需要迅速产生,以避免健康风险。自动分割方法正变得越来越可靠,但科学界的许多专家仍然依赖于耗时的人工分割。
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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