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Multi Atlas Segmentation applied to in vivo mouse brain MRI

Ma, D; Cardoso, M; Modat, M; Powell, N; Holmes, H; Lythgoe, M; Ourselin, S; (2012) Multi Atlas Segmentation applied to in vivo mouse brain MRI. In: Landman, BA and Warfield, SK, (eds.) MICCAI 2012 Workshop on Multi-Atlas Labeling. (pp. 134 - 143). MICCAI 2012 Workshop on Multi-Atlas Labeling: Nice. Green open access

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Abstract

Multi-atlas segmentation propagation has evolved quickly in recent years, becoming a state-of-the-art method for automatic struc- tural parcellation for brain MRI. However, few studies have applied these methods to preclinical research. In this study, we present a fully auto- matic multi-atlas segmentation pipeline for mouse brain MRI tissue par- cellation. The pipeline adopts the Multi-STEPS multi-atlas segmentation algorithm, which utilises a locally normalised cross correlation (LNCC) similarity metric for atlas selection and an extended STAPLE frame- work for multi-label fusion. The segmentation accuracy of the pipeline was evaluated using an in vivo mouse brain atlas with pre-segmented manual labels as gold standard, and optimised parameters were obtained. Results show a mean Dice similarity coefficient of 0.839 over all the struc- tures and for all the samples in the database, significantly higher than in a single atlas propagation strategy, and also generally higher than STAPLE strategy, although the improvement is not significant.

Type: Proceedings paper
Title: Multi Atlas Segmentation applied to in vivo mouse brain MRI
Open access status: An open access version is available from UCL Discovery
Publisher version: https://masi.vuse.vanderbilt.edu/workshop2012/imag...
Language: English
Additional information: © Springer Verlag 2012 file: :D$$:/Sync/Dropbox/Documents/Mendeley Desktop/Ma et al. - 2012 - Multi Atlas Segmentation applied to in vivo mouse brain MRI.pdf:pdf
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1389407
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