Real-time exercise stress cardiac MRI with Fourier-series reconstruction from golden-angle radial data.
Golden-angle radial acquisition
Real-time MRI
Stress cardiac MRI
Journal
Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883
Informations de publication
Date de publication:
01 2021
01 2021
Historique:
received:
21
08
2020
revised:
30
09
2020
accepted:
18
10
2020
pubmed:
26
10
2020
medline:
26
2
2021
entrez:
25
10
2020
Statut:
ppublish
Résumé
Magnetic resonance imaging (MRI) can measure cardiac response to exercise stress for evaluating and managing heart patients in the practice of clinical cardiology. However, exercise stress cardiac MRI have been clinically limited by the ability of available MRI techniques to quantitatively measure fast and unstable cardiac dynamics during exercise. The presented work is to develop a new real-time MRI technique for improved quantitative performance of exercise stress cardiac MRI. This technique seeks to represent real-time cardiac images as a sparse Fourier-series along the time. With golden-angle radial acquisition, parallel imaging and compressed sensing can be integrated into a linear system of equations for resolving Fourier coefficients that are in turn used to generate real-time cardiac images from the Fourier-series representation. Fourier-series reconstruction from golden-angle radial data can effectively address data insufficiency due to MRI speed limitation, providing a real-time approach to exercise stress cardiac MRI. To demonstrate the feasibility, an exercise stress cardiac MRI experiment was run to investigate biventricular response to in-scanner biking exercise in a cohort of sixteen healthy volunteers. It was found that Fourier-series reconstruction from golden-angle radial data effectively detected exercise-induced increase in stroke volume and ejection fraction in a healthy heart. The presented work will improve the applications of exercise stress cardiac MRI in the practice of clinical cardiology.
Identifiants
pubmed: 33098934
pii: S0730-725X(20)30621-4
doi: 10.1016/j.mri.2020.10.010
pmc: PMC7683360
mid: NIHMS1641413
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
89-99Subventions
Organisme : NIBIB NIH HHS
ID : R01 EB022405
Pays : United States
Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.
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