Survey of 3D Segmentation Algorithms for Medical Images
Chunlan Fang · Jisuanji yingyong yanjiu · 2007
3D segmentation is an important part of computer-based medical applications for diagnosis and analysis of anatomical data.With rapid advances in medical imaging modalities and volume visualization techniques,computer-based diagnosis is fast becoming a reality.These computer-based tools allow scientists and physicians to understand and diagnose anatomical structures by virtually interacting with them.3D segmentation plays a critical role by facilitating automatic or semi-automatic extraction of the anatomical organ or region-of-interest.In the review,we provide an introduction to various segmentation algorithms found in the literature.We classify the algorithms into three categories: structural techniques,statistical techniques and hybrid techniques.