Imperial College London
Alternate

DrNavtejChahal

Faculty of Medicine, National Heart & Lung Institute

Honorary Clinical Senior Lecturer
 
 
 
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Contact

 

navtej.chahal07

 
 
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Location

 

Royal BromptonRoyal Brompton Campus

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Summary

 

Publications

Citation

BibTex format

@article{Li:2017:10.1016/j.ultrasmedbio.2017.05.001,
author = {Li, Y and Chahal, N and Senior, R and Tang, M},
doi = {10.1016/j.ultrasmedbio.2017.05.001},
journal = {Ultrasound in Medicine & Biology},
pages = {2235--2246},
title = {Reproducible computer assisted quantification of myocardial perfusion with contrast enhanced ultrasound},
url = {http://dx.doi.org/10.1016/j.ultrasmedbio.2017.05.001},
volume = {43},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Myocardial perfusion can be quantified by myocardial contrast echocardiography (MCE) and is used for the diagnosis of coronary artery disease (CAD). However, existing MCE quantification software is highly operator dependent and has poor reproducibility and ease of usage. The aim of this study was to develop robust and easy-to-use software that can perform MCE quantification accurately, reproducibly and rapidly. The developed software has the following features: (i) semi-automatic segmentation of the myocardium; (ii) automatic rejection of MCE data with poor image quality; (iii) automatic computation of perfusion parameters such as myocardial blood flow (MBF). MCE sequences of 18 individuals (9 normal, 9 with CAD) undergoing vasodilator stress with dipyridamole were analysed quantitatively using the software. When evaluated against coronary angiography, the software achieved a sensitivity of 71% and a specificity of 91% for hyperemic MBF. With the automatic rejection algorithm, the sensitivity and specificity further improved to 77% and 94%, respectively. For MBF reproducibility, the percentage agreement is 85% (κ = 0.65) for inter-observer variability and 88% (κ = 0.72) for intra-observer variability. The intra-class correlation coefficients are 0.94 (inter-observer) and 0.96 (intra-observer). The time taken to analyse one MCE sequence using the software is about 3 min on a PC. The software has exhibited good diagnostic performance and reproducibility for CAD detection and is rapid and user-friendly.
AU  - Li,Y
AU  - Chahal,N
AU  - Senior,R
AU  - Tang,M
DO  - 10.1016/j.ultrasmedbio.2017.05.001
EP  - 2246
PY  - 2017///
SN  - 1879-291X
SP  - 2235
TI  - Reproducible computer assisted quantification of myocardial perfusion with contrast enhanced ultrasound
T2  - Ultrasound in Medicine & Biology
UR  - http://dx.doi.org/10.1016/j.ultrasmedbio.2017.05.001
UR  - http://hdl.handle.net/10044/1/48402
VL  - 43
ER  -
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