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Magnetic Resonance Imaging of Coronary Arteries: Latest Technical Innovations and Clinical Experiences

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Abstract

Cardiovascular disease (CVD) is the leading cause of death and a major health care challenge globally. Coronary artery disease (CAD) is a primary underlying pathological process in the majority of cardiovascular disease cases. Magnetic resonance imaging (MRI) can play a potentially important role in the management of CAD as a noninvasive imaging modality without ionizing radiation, although its early promise has not been delivered because of several crucial technical limitations. However, recent innovations in MRI have reopened the door, with tremendous opportunities for multiparametric assessment of CAD including luminal stenosis, plaque burden and composition, and disease activities such as inflammation and hemorrhage. Novel MRI acquisition and reconstruction strategies now offer much increased spatial resolution and image quality and shortened examination times compared with conventional approaches. Recent clinical experiences of coronary MRI indicated the potential to improve the current management of coronary atherosclerosis, such as identifying the patients at the highest risk and evaluating therapeutic responses. In this review we discuss the latest technical advances and clinical insights in coronary MRI.

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Author and article information

Affiliations
1Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA
2Siemens Healthcare, Chicago, IL, USA
3Department of Bioengineering, University of California, Los Angeles, CA, USA
Author notes
Correspondence: Debiao Li, PhD, Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd., PACT Suite 800, Los Angeles, CA 90048, USA, Tel.: +1 (424) 672-5278, Fax: +1 (310) 248-8682, E-mail: debiao.li@123456cshs.org
Journal
CVIA
Cardiovascular Innovations and Applications
CVIA
Compuscript (Ireland)
2009-8782
2009-8618
December 2016
March 2017
: 2
: 1
: 85-99
Copyright © 2017 Cardiovascular Innovations and Applications

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License (CC BY-NC 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc/4.0/.

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