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Proceedings Paper

Segmentation of lymph node regions in head-and-neck CT images using a combination of registration and active shape model
Author(s): Antong Chen; Matthew A. Deeley; Kenneth J. Niermann; Luigi Moretti; Benoit M. Dawant
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Paper Abstract

Segmenting the lymph node regions in head and neck CT images has been a challenging topic in the area of medical image segmentation. The method proposed herein implements an atlas-based technique constrained by an active shape model (ASM) to segment the level II, III and IV lymph nodes as one structure. A leave-one-out evaluation study performed on 15 data sets shows that the results obtained with this technique are better than those obtained with a pure atlas-based segmentation method, in particular in regions of poor contrast.

Paper Details

Date Published: 12 March 2010
PDF: 10 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76231Q (12 March 2010); doi: 10.1117/12.843823
Show Author Affiliations
Antong Chen, Vanderbilt Univ. (United States)
Matthew A. Deeley, Vanderbilt-Ingram Cancer Ctr. (United States)
Kenneth J. Niermann, Vanderbilt-Ingram Cancer Ctr. (United States)
Luigi Moretti, Vanderbilt-Ingram Cancer Ctr. (United States)
Benoit M. Dawant, Vanderbilt Univ. (United States)


Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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