@inproceedings{347d5f7f08364fcdab722bda89f2f761,
title = "Fast automatic multi-atlas segmentation of the prostate from 3D MR images",
abstract = "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. {\textcopyright} 2011 Springer-Verlag.",
author = "J.A. Dowling and J. Fripp and S.S. Chandra and J.P.W. Pluim and J. Lambert and J. Parker and J. Denham and P.B. Greer and O. Salvado",
year = "2011",
doi = "10.1007/978-3-642-23944-1\_2",
language = "English",
isbn = "978-3-642-23943-4",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "10--21",
editor = "A. Madabhushi and J. Dowling and H. Huisman and D. Barratt",
booktitle = "Prostate cancer imaging : image analysis and image-guided interventions : International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011. Proceedings",
address = "Germany",
}