DocumentCode :
1579073
Title :
Zero-Crossing Iso-Surfaces in Volume Datasets
Author :
Fang, Shiaofen ; Gupta, Pooja
Author_Institution :
Dept. of Comput. & Inf. Sci., Indiana Univ., Indianapolis, IN
fYear :
2006
Firstpage :
5108
Lastpage :
5111
Abstract :
This paper describes a new surface extraction method for volume datasets by applying iso-surface extraction techniques to the zero-crossing edges in a volumetric domain. A volume dataset is first filtered using a Laplacian of Gaussian filter to generate a zero-crossing field. A marching cube process will then be able to extract the entire zero-crossing surface that may be viewed selectively based on various intensity ranges and gradient scales. This new technique provides a more efficient surface navigation and extraction mechanism, as well as more accurate surface details, than the traditional iso-surface techniques
Keywords :
feature extraction; medical image processing; Gaussian filter; Laplacian; iso-surfaces; surface extraction method; volume dataset; zero-crossing; Biomedical imaging; Data mining; Data visualization; Extraterrestrial phenomena; Filters; Information science; Laplace equations; Navigation; Rendering (computer graphics); Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
Type :
conf
DOI :
10.1109/IEMBS.2005.1615626
Filename :
1615626
Link To Document :
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