期刊
MEDICAL PHYSICS
卷 34, 期 2, 页码 627-638出版社
WILEY
DOI: 10.1118/1.2409238
关键词
skeleton; centerline; level sets; subvoxel accuracy
资金
- Intramural NIH HHS Funding Source: Medline
The accurate calculation of the skeleton of an object is a problem not satisfactorily solved by existing approaches. Most algorithms require a significant amount of user interaction and use a voxel grid to compute discrete and often coarse approximations of this representation of the data. We present a novel, automatic algorithm for computing subvoxel precise skeletons of volumetric data based on subvoxel precise distance fields. Most voxel based centerline and skeleton algorithms start with a binary mask and end with a list of voxels that define the centerline or skeleton. Even though subsequent smoothing may be applied, the results are inherently discrete. Our skeletonization algorithm uses as input a subvoxel precise distance field and employs a number of fast marching method propagations to extract the skeleton at subvoxel precision. We present the skeletons of various three-dimensional (3D) data sets and digital phantom models as validations of our algorithm. (c) 2007 American Association of Physicists in Medicine.
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