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{Shi:2014:10.1007/978-3-319-10404-1_44,
author = {Shi, W and Lombaert, H and Bai, W and Ledig, C and Zhuang, X and Marvao, A and Dawes, T and O'Regan, D and O'Regan, D},
doi = {10.1007/978-3-319-10404-1_44},
pages = {348--355},
title = {Multi-atlas spectral PatchMatch: application to cardiac image segmentation.},
url = {http://dx.doi.org/10.1007/978-3-319-10404-1_44},
year = {2014}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - The automatic segmentation of cardiac magnetic resonance images poses many challenges arising from the large variation between different anatomies, scanners and acquisition protocols. In this paper, we address these challenges with a global graph search method and a novel spectral embedding of the images. Firstly, we propose the use of an approximate graph search approach to initialize patch correspondences between the image to be segmented and a database of labelled atlases, Then, we propose an innovative spectral embedding using a multi-layered graph of the images in order to capture global shape properties. Finally, we estimate the patch correspondences based on a joint spectral representation of the image and atlases. We evaluated the proposed approach using 155 images from the recent MICCAI SATA segmentation challenge and demonstrated that the proposed algorithm significantly outperforms current state-of-the-art methods on both training and test sets.
AU - Shi,W
AU - Lombaert,H
AU - Bai,W
AU - Ledig,C
AU - Zhuang,X
AU - Marvao,A
AU - Dawes,T
AU - O'Regan,D
AU - O'Regan,D
DO - 10.1007/978-3-319-10404-1_44
EP - 355
PY - 2014///
SP - 348
TI - Multi-atlas spectral PatchMatch: application to cardiac image segmentation.
UR - http://dx.doi.org/10.1007/978-3-319-10404-1_44
UR - https://www.ncbi.nlm.nih.gov/pubmed/25333137
ER -