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Proceedings Paper

Evaluation of multi atlas-based approaches for the segmentation of the thyroid gland in IMRT head-and-neck CT images
Author(s): Antong Chen; Kenneth J. Niermann; Matthew A. Deeley; Benoit M. Dawant
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Paper Abstract

Segmenting the thyroid gland in head and neck CT images for IMRT treatment planning is of great importance. In this work, we evaluate and compare multi-atlas methods to segment this structure. The various methods we evaluate range from using a single average atlas representative of the population to selecting one atlas based on three similarity measures. We also compare ways to combine segmentation results obtained with several atlases, i.e., vote rule, and STAPLE, which is a commonly used method to combine multiple segmentations. We show that the best results are obtained when several atlases are combined. We also show that with our data sets, STAPLE does not lead to the best results.

Paper Details

Date Published: 11 March 2011
PDF: 9 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796224 (11 March 2011); doi: 10.1117/12.878246
Show Author Affiliations
Antong Chen, Vanderbilt Univ. (United States)
Kenneth J. Niermann, Vanderbilt-Ingram Cancer Ctr. (United States)
Matthew A. Deeley, Vanderbilt-Ingram Cancer Ctr. (United States)
Benoit M. Dawant, Vanderbilt Univ. (United States)


Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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