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Proceedings Paper

Three-dimensional active net for volume extraction
Author(s): Ikuko Takanashi; Shigeru Muraki; Akio Doi; Arie E. Kaufman
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Paper Abstract

3D Active Net, which is a 3D extension of Snakes, is an energy-minimizing surface model which can extract a volume of interest from 3D volume data. It is deformable and evolves in 3D space to be attracted to salient features, according to its internal and image energy. The net can be fitted to the contour of a target object by defining the image energy suitable for the contour property. We present testing results of the extraction of a muscle from the Visible Human Data by two methods: manual segmentation and the application of 3D Active Net. We apply principal component analysis, which utilizes the color information of the 3D volume data to emphasize an ill-defined contour of the muscle, and then apply 3D Active Net. We recognize that the extracted object has a smooth and natural contour in contrast with a comparable manual segmentation, proving an advantage of our approach.

Paper Details

Date Published: 14 May 1998
PDF: 10 pages
Proc. SPIE 3298, Visual Data Exploration and Analysis V, (14 May 1998); doi: 10.1117/12.309541
Show Author Affiliations
Ikuko Takanashi, Mitsubishi Electric Corp. (United States)
Shigeru Muraki, Electrotechnical Lab. (Japan)
Akio Doi, Iwate Univ. (Japan)
Arie E. Kaufman, SUNY/Stony Brook (United States)

Published in SPIE Proceedings Vol. 3298:
Visual Data Exploration and Analysis V
Robert F. Erbacher; Alex Pang, Editor(s)

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