Imperial College London
Alternate

Dr. Ramzi Y Khamis MB ChB PhD FESC FRCP

Faculty of Medicine, National Heart & Lung Institute

Reader in Cardiology
 
 
 
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Contact

 

+44 (0)20 7594 6842r.khamis

 
 
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Location

 

ICTEM buildingHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hajhosseiny:2021:10.3389/fcvm.2021.682924,
author = {Hajhosseiny, R and Munoz, C and Cruz, G and Khamis, R and Kim, WY and Prieto, C and Botnar, RM},
doi = {10.3389/fcvm.2021.682924},
journal = {Front Cardiovasc Med},
title = {Coronary magnetic resonance angiography in chronic coronary syndromes},
url = {http://dx.doi.org/10.3389/fcvm.2021.682924},
volume = {8},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Cardiovascular disease is the leading cause of mortality worldwide, with atherosclerotic coronary artery disease (CAD) accounting for the majority of cases. X-ray coronary angiography and computed tomography coronary angiography (CCTA) are the imaging modalities of choice for the assessment of CAD. However, the use of ionising radiation and iodinated contrast agents remain drawbacks. There is therefore a clinical need for an alternative modality for the early identification and longitudinal monitoring of CAD without these associated drawbacks. Coronary magnetic resonance angiography (CMRA) could be a potential alternative for the detection and monitoring of coronary arterial stenosis, without exposing patients to ionising radiation or iodinated contrast agents. Further advantages include its versatility, excellent soft tissue characterisation and suitability for repeat imaging. Despite the early promise of CMRA, widespread clinical utilisation remains limited due to long and unpredictable scan times, onerous scan planning, lower spatial resolution, as well as motion related image quality degradation. The past decade has brought about a resurgence in CMRA technology, with significant leaps in image acceleration, respiratory and cardiac motion estimation and advanced motion corrected or motion-resolved image reconstruction. With the advent of artificial intelligence, great advances are also seen in deep learning-based motion estimation, undersampled and super-resolution reconstruction promising further improvements of CMRA. This has enabled high spatial resolution (1 mm isotropic), 3D whole heart CMRA in a clinically feasible and reliable acquisition time of under 10 min. Furthermore, latest super-resolution image reconstruction approaches which are currently under evaluation promise acquisitions as short as 1 min. In this review, we will explore the recent technological advances that are designed to bring CMRA closer to clinical reality.
AU  - Hajhosseiny,R
AU  - Munoz,C
AU  - Cruz,G
AU  - Khamis,R
AU  - Kim,WY
AU  - Prieto,C
AU  - Botnar,RM
DO  - 10.3389/fcvm.2021.682924
PY  - 2021///
SN  - 2297-055X
TI  - Coronary magnetic resonance angiography in chronic coronary syndromes
T2  - Front Cardiovasc Med
UR  - http://dx.doi.org/10.3389/fcvm.2021.682924
UR  - https://www.ncbi.nlm.nih.gov/pubmed/34485397
UR  - http://hdl.handle.net/10044/1/91567
VL  - 8
ER  -
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