Shakeri, M;
Ferrante, E;
Tsogkas, S;
Lippé, S;
Kadouri, S;
Kokkinos, I;
Paragios, N;
(2016)
Prior-Based Coregistration and Cosegmentation.
In: Ourselin, S and Joskowicz, L and Sabuncu, M and Unal, G and Wells, W, (eds.)
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016.
(pp. pp. 529-537).
Springer: Cham, Switzerland.
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Abstract
We propose a modular and scalable framework for dense coregistration and cosegmentation with two key characteristics: first, we substitute ground truth data with the semantic map output of a classifier; second, we combine this output with population deformable registration to improve both alignment and segmentation. Our approach deforms all volumes towards consensus, taking into account image similarities and label consistency. Our pipeline can incorporate any classifier and similarity metric. Results on two datasets, containing annotations of challenging brain structures, demonstrate the potential of our method.
| Type: | Proceedings paper |
|---|---|
| Title: | Prior-Based Coregistration and Cosegmentation |
| Event: | 19th International Conference on Medical Image Computing and Computer Assisted Intervention 2016 |
| Dates: | 17 October 2016 - 21 October 2016 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-319-46723-8_61 |
| Publisher version: | https://doi.org/10.1007/978-3-319-46723-8_61 |
| Language: | English |
| Additional information: | Copyright © Springer International Publishing AG 2016 The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-46723-8_61 |
| Keywords: | coregistration, cosegmentation, discrete optimization, priors |
| UCL classification: | UCL 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 Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1528611 |
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