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Proceedings Paper

Supervised method to build an atlas database for multi-atlas segmentation-propagation
Author(s): Kaikai Shen; Pierrick Bourgeat; Jurgen Fripp; Fabrice Mériaudeau; David Ames; Kathryn A. Ellis; Colin L. Masters; Victor L. Villemagne; Christopher C. Rowe; Olivier Salvado
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Paper Abstract

Multiatlas based segmentation-propagation approaches have been shown to obtain accurate parcelation of brain structures. However, this approach requires a large number of manually delineated atlases, which are often not available. We propose a supervised method to build a population specific atlas database, using the publicly available Internet Brain Segmentation Repository (IBSR). The set of atlases grows iteratively as new atlases are added, so that its segmentation capability may be enhanced in the multiatlas based approach. Using a dataset of 210 MR images of elderly subjects (170 elderly control, 40 Alzheimer's disease) from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study, 40 MR images were segmented to build a population specific atlas database for the purpose of multiatlas segmentation-propagation. The population specific atlases were used to segment the elderly population of 210 MR images, and were evaluated in terms of the agreement among the propagated labels. The agreement was measured by using the entropy H of the probability image produced when fused by voting rule and the partial moment μ2 of the histogram. Compared with using IBSR atlases, the population specific atlases obtained a higher agreement when dealing with images of elderly subjects.

Paper Details

Date Published: 9 March 2010
PDF: 8 pages
Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 76241N (9 March 2010); doi: 10.1117/12.844048
Show Author Affiliations
Kaikai Shen, Australian e-Health Research Ctr. (Australia)
Univ. de Bourgogne (France)
Pierrick Bourgeat, Australian e-Health Research Ctr. (Australia)
Jurgen Fripp, Australian e-Health Research Ctr. (Australia)
Fabrice Mériaudeau, Univ. de Bourgogne (France)
David Ames, National Ageing Research Institute (Australia)
Kathryn A. Ellis, The Mental Health Research Institute (Australia)
National Ageing Research Institute (Australia)
Colin L. Masters, The Mental Health Research Institute (Australia)
The Univ. of Melbourne (Australia)
Victor L. Villemagne, The Univ. of Melbourne (Australia)
The Mental Health Research Institute (Australia)
Christopher C. Rowe, The Univ. of Melbourne (Australia)
Olivier Salvado, Australian e-Health Research Ctr. (Australia)

Published in SPIE Proceedings Vol. 7624:
Medical Imaging 2010: Computer-Aided Diagnosis
Nico Karssemeijer; Ronald M. Summers, Editor(s)

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