Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation
Dehghan E, Wang H, Conjeti S, Tang H, Dehghan E, Karargyris A, Pillai A, Clarkson K, Navab N (2018)
Publication Type: Conference contribution
Publication year: 2018
Journal
Publisher: Springer Verlag
Book Volume: 11073 LNCS
Pages Range: 543-551
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Granada, ESP
ISBN: 9783030009366
DOI: 10.1007/978-3-030-00937-3_62
Abstract
In this paper, we present a learning based, registration free, atlas ranking technique for selecting outperforming atlases prior to image registration and multi-atlas segmentation (MAS). To this end, we introduce ensemble hashing, where each data (image volume) is represented with ensemble of hash codes and a learnt distance metric is used to obviate the need for pairwise registration between atlases and target image. We then pose the ranking process as an assignment problem and solve it through two different combinatorial optimization (CO) techniques. We use 43 unregistered cardiac CT Angiography (CTA) scans and perform thorough validations to show the effectiveness and superiority of the presented technique against existing atlas ranking and selection methods.
Involved external institutions
United States (USA) (US)
Germany (DE)How to cite
APA:
Dehghan, E., Wang, H., Conjeti, S., Tang, H., Dehghan, E., Karargyris, A.,... Navab, N. (2018). Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation. In Alejandro F. Frangi, Gabor Fichtinger, Julia A. Schnabel, Carlos Alberola-López, Christos Davatzikos (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 543-551). Granada, ESP: Springer Verlag.
MLA:
Dehghan, Ehsan, et al. "Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation." Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, ESP Ed. Alejandro F. Frangi, Gabor Fichtinger, Julia A. Schnabel, Carlos Alberola-López, Christos Davatzikos, Springer Verlag, 2018. 543-551.
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