- 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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