Imperial College London

ProfessorDanielRueckert

Faculty of EngineeringDepartment of Computing

Head of Department of Computing
 
 
 
//

Contact

 

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

 
 
//

Location

 

568Huxley BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@inproceedings{Wang:2014:10.1007/978-3-319-10404-1_83,
author = {Wang, Z and Bhatia, K and Glocker, B and Marvao, AD and Dawes, T and Misawa, K and Mori, K and Rueckert, D},
doi = {10.1007/978-3-319-10404-1_83},
pages = {666--673},
publisher = {Springer},
title = {Geodesic Patch-based Segmentation},
url = {http://dx.doi.org/10.1007/978-3-319-10404-1_83},
year = {2014}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - Label propagation has been shown to be effective in many automatic segmentation applications. However, its reliance on accurate image alignment means that segmentation results can be affected by any registration errors which occur. Patch-based methods relax this dependence by avoiding explicit one-to-one correspondence assumptions between images but are still limited by the search window size. Too small, and it does not account for enough registration error; too big, and it becomes more likely to select incorrect patches of similar appearance for label fusion. This paper presents a novel patch-based label propagation approach which uses relative geodesic distances to define patient-specific coordinate systems as spatial context to overcome this problem. The approach is evaluated on multi-organ segmentation of 20 cardiac MR images and 100 abdominal CT images, demonstrating competitive results.
AU - Wang,Z
AU - Bhatia,K
AU - Glocker,B
AU - Marvao,AD
AU - Dawes,T
AU - Misawa,K
AU - Mori,K
AU - Rueckert,D
DO - 10.1007/978-3-319-10404-1_83
EP - 673
PB - Springer
PY - 2014///
SN - 0302-9743
SP - 666
TI - Geodesic Patch-based Segmentation
UR - http://dx.doi.org/10.1007/978-3-319-10404-1_83
UR - http://hdl.handle.net/10044/1/23434
ER -