Supervised method to build an atlas database for multi-atlas segmentation-propagation

Kaikai Shen; Pierrick Bourgeat; Jurgen Fripp; Fabrice Mériaudeau; David Ames; Kathryn A. Ellis; Colin L. Masters; Victor L. Villemagne; Christopher C. Rowe; Olivier Salvado

doi:10.1117/12.844048

9 March 2010 Supervised method to build an atlas database for multi-atlas segmentation-propagation

Kaikai Shen, Pierrick Bourgeat, Jurgen Fripp, Fabrice Mériaudeau, David Ames, Kathryn A. Ellis, Colin L. Masters, Victor L. Villemagne, Christopher C. Rowe, Olivier Salvado

Author Affiliations +

Proceedings Volume 7624, Medical Imaging 2010: Computer-Aided Diagnosis; 76241N (2010) https://doi.org/10.1117/12.844048
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

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.

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Kaikai Shen, Pierrick Bourgeat, Jurgen Fripp, Fabrice Mériaudeau, David Ames, Kathryn A. Ellis, Colin L. Masters, Victor L. Villemagne, Christopher C. Rowe, and Olivier Salvado "Supervised method to build an atlas database for multi-atlas segmentation-propagation", Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 76241N (9 March 2010); https://doi.org/10.1117/12.844048

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