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{Jia:2016:10.1007/978-3-319-43775-0_29,
author = {Jia, D and Shi, W and Rueckert, D and Liu, L and Ourselin, S and Zhuang, X},
doi = {10.1007/978-3-319-43775-0_29},
pages = {320--328},
title = {A multi-resolution multi-model method for coronary centerline extraction based on minimal path},
url = {http://dx.doi.org/10.1007/978-3-319-43775-0_29},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - © Springer International Publishing Switzerland 2016. Extracting centerlines of coronary arteries is challenging but important in clinical applications of cardiac computed tomography angiography (CTA). Since manual annotation of coronary arteries is time-consuming, laborintensive and subject to intra- and inter-variations, we propose a new method to fully automatically extract the coronary centerlines. We first develop a new image filter which generates pixels with salient vessel features within a given window. This filter hence can capture sparsely distributed but important vessel points, enabling the minimal path (MP) process to track the key centerline points at different resolution of the images. Then, we reformulate the filter for multi-resolution fast marching, which not only can speed up the coronary tracking process, but also can help the front propagation to step over the indistinct segments of the coronary artery such as at the locations of stenosis. We embed this scheme into the MP framework to develop a multi-resolution multi-model approach (MMP), where the extracted centerlines from low-resolution MP serve as prior and constraints for the high-resolution process. We evaluated the performance of this method using the Rotterdam CTA training data and the coronary artery algorithm evaluation framework. The average inside of our extraction was 0.51 mm and the overlap was 72.9 %. The mean runtime on the original resolution CTA images was 3.4 min using the MMP method.
AU - Jia,D
AU - Shi,W
AU - Rueckert,D
AU - Liu,L
AU - Ourselin,S
AU - Zhuang,X
DO - 10.1007/978-3-319-43775-0_29
EP - 328
PY - 2016///
SN - 0302-9743
SP - 320
TI - A multi-resolution multi-model method for coronary centerline extraction based on minimal path
UR - http://dx.doi.org/10.1007/978-3-319-43775-0_29
ER -