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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Fast Automatic Multi-atlas Segmentation of the Prostate from 3D MR Images
verfasst von : Jason A. Dowling, Jurgen Fripp, Shekhar Chandra, Josien P W. Pluim, Jonathan Lambert, Joel Parker, James Denham, Peter B. Greer, Olivier Salvado
Erschienen in: Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions
Verlag: Springer Berlin Heidelberg
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A fast fully automatic method of segmenting the prostate from 3D MR scans is presented, incorporating dynamic multi-atlas label fusion. The diffeomorphic demons method is used for non-rigid registration and a comparison of alternate metrics for atlas selection is presented. A comparison of results from an average shape atlas and the multi-atlas approach is provided. Using the same clinical dataset and manual contours from 50 clinical scans as Klein et al. (2008) a median Dice similarity coefficient of 0.86 was achieved with an average surface error of 2.00mm using the multi-atlas segmentation method.