Imperial College London

ProfessorDanielRueckert

Faculty of EngineeringDepartment of Computing

Head of Department of Computing
 
 
 
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Contact

 

+44 (0)20 7594 8333d.rueckert Website

 
 
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Location

 

568Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Wang:2013:10.1007/978-3-642-36620-8_10,
author = {Wang, Z and Wolz, R and Tong, T and Rueckert, D},
doi = {10.1007/978-3-642-36620-8_10},
pages = {93--103},
title = {Spatially Aware Patch-based Segmentation (SAPS): An alternative patch-based segmentation framework},
url = {http://dx.doi.org/10.1007/978-3-642-36620-8_10},
year = {2013}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - 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.
AU - Wang,Z
AU - Wolz,R
AU - Tong,T
AU - Rueckert,D
DO - 10.1007/978-3-642-36620-8_10
EP - 103
PY - 2013///
SN - 0302-9743
SP - 93
TI - Spatially Aware Patch-based Segmentation (SAPS): An alternative patch-based segmentation framework
UR - http://dx.doi.org/10.1007/978-3-642-36620-8_10
ER -