DocumentCode :
1925585
Title :
Polygonizing skeletal sheets of CT-scanned objects by partitioin of unity approximations
Author :
Nagai, Yukie ; Ohtake, Yutaka ; Kase, Kiwamu ; Suzuki, Hiromasa
Author_Institution :
Univ. of Tokyo, Tokyo
fYear :
2008
fDate :
4-6 June 2008
Firstpage :
265
Lastpage :
266
Abstract :
The skeletal structures of solid objects play an important role in medical and industrial applications. Given a volumetrically sampled solid object, our method extracts a nice-looking skeletal structure represented as a polygon mesh. The purpose is to achieve a noise-robust extraction of the skeletal mesh from a real-world object obtained using a scanning technology such as the CT scan method. We first approximate the input through a set of spherically supported polynomials that provide an adaptively smoothed intensity field, and then perform a polygonization process to find the extremal sheet of the field, which is regarded as a skeletal sheet in this research. In our polygonization, a subset of the weighted Delaunay tetrahedrization defined by a set of spherical supports is used as an adaptively sampled grid. The derivatives for detecting extremality are analytically evaluated at the tetrahedron vertices. We also demonstrate the effectiveness of our method by extracting skeletal meshes from noisy CT images.
Keywords :
computerised tomography; feature extraction; medical image processing; CT-scanned objects; industrial applications; medical applications; polygon mesh; polygonization process; robust extraction; scanning technology; skeletal sheets; skeletal structures; unity approximations; volumetrically sampled solid object; weighted Delaunay tetrahedrization; Biomedical imaging; Computed tomography; Mechanical variables measurement; Noise figure; Noise robustness; Polynomials; Reverse engineering; Skeleton; Solids; X-ray imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Shape Modeling and Applications, 2008. SMI 2008. IEEE International Conference on
Conference_Location :
Stony Brook, NY
Print_ISBN :
978-1-4244-2260-9
Electronic_ISBN :
978-1-4244-2261-6
Type :
conf
DOI :
10.1109/SMI.2008.4547999
Filename :
4547999
Link To Document :
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