Fast automatic multi-atlas segmentation of the prostate from 3D MR images

Title: Fast automatic multi-atlas segmentation of the prostate from 3D MR images
Creator: Dowling, Jason A.; Fripp, Jurgen; Chandra, Shekhar; Pluim, Josien P. W.; Lambert, Jonathon; Parker, Joel; Denham, James; Greer, Peter B.; Salvado, Olivier
Relation: International Workshop on Prostate Cancer Imaging in conjunction with MICCAI 2011. Prostate Cancer Imaging: Image Analysis and Image-Guided Interventions; Proceedings (Lecture Notes in Computer Science, Vol. 6963) (Toronto, Canada 22 September, 2011) p. 10-21
Publisher Link: http://dx.doi.org/10.1007/978-3-642-23944-1_2
Publisher: Springer-Verlag
Resource Type: conference paper
Date: 2011
Description: 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.
Subject: prostate; 3D MR scans; radiotherapy
Identifier: http://hdl.handle.net/1959.13/1064938
Identifier: uon:17686
Identifier: ISBN:9783642239434
Language: eng
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