Spatially Aware Patch-based Segmentation (SAPS): An alternative patch-based segmentation framework
Wang Z, Wolz R, Tong T, Rueckert D (2013)
Publication Type: Conference contribution
Publication year: 2013
Journal
Book Volume: 7766 LNCS
Pages Range: 93-103
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: FRA
ISBN: 9783642366192
DOI: 10.1007/978-3-642-36620-8_10
Abstract
Patch-based segmentation has been shown to be successful in a range of label propagation applications. Performing patch-based segmentation can be seen as a k-nearest neighbour problem as the labelling of each voxel is determined according to the distances to its most similar patches. However, the reliance on a good affine registration given the use of limited search windows is a potential weakness. This paper presents a novel alternative framework which combines the use of kNN search structures such as ball trees and a spatially weighted label fusion scheme to search patches in large regional areas to overcome the problem of limited search windows. Our proposed framework (SAPS) provides an improvement in the Dice metric of the results compared to that of existing patch-based segmentation frameworks. © 2013 Springer-Verlag.
Involved external institutions
United Kingdom (GB)How to cite
APA:
Wang, Z., Wolz, R., Tong, T., & Rueckert, D. (2013). Spatially Aware Patch-based Segmentation (SAPS): An alternative patch-based segmentation framework. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 93-103). FRA.
MLA:
Wang, Zehan, et al. "Spatially Aware Patch-based Segmentation (SAPS): An alternative patch-based segmentation framework." Proceedings of the 2nd MICCAI Workshop on Medical Computer Vision, MICCAI-MCV 2012, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012, FRA 2013. 93-103.
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