Shape- and appearance-based segmentation of volumetric medical images

R Beichel; S Mitchell; E Sorantin; F Leberl; A Goshtasby; M Sonka

doi:10.1109/ICIP.2001.958561

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Conference proceeding

Shape- and appearance-based segmentation of volumetric medical images

R Beichel, S Mitchell, E Sorantin, F Leberl, A Goshtasby and M Sonka

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), Vol.2, pp.589-592 vol.2

2001

DOI: 10.1109/ICIP.2001.958561

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Abstract

A novel approach to three-dimensional segmentation, parametric surface representation, and interactive surface modification is reported. The combination of shape-based and appearance-based volumetric segmentation, parametric representation of 3D surfaces, and their interactive modification and editing forms a very powerful paradigm for a variety of volumetric segmentation tasks. Performance assessment of the method for automated segmentation of diaphragm surfaces in volumetric 3D CT images is ongoing.

Heart

Computed Tomography

Surgery

Image segmentation

Shape

Liver

Cities and towns

Active appearance model

Medical diagnostic imaging

Biomedical imaging

Details

Title: Subtitle: Shape- and appearance-based segmentation of volumetric medical images
Creators: R Beichel - Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Austria
S Mitchell
E Sorantin
F Leberl
A Goshtasby
M Sonka
Resource Type: Conference proceeding
Publication Details: Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), Vol.2, pp.589-592 vol.2
DOI: 10.1109/ICIP.2001.958561
Publisher: IEEE
Language: English
Date published: 2001
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9984083202702771

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