Free-Breathing 3D Cardiac Magnetic Resonance Elastography Using TURBINE-MRE

Motivation: Cardiac magnetic resonance elastography (cMRE) has potential for clinically vital quantitative imaging of myocardial stiffness, but for it to become clinically viable in patients with heart failure or shortness of breath, free-breathing techniques need to be developed. Goal(s): To demonstrate the feasibility of 3D free-breathing cMRE. Approach: A 3D MRE sequence (TURBINE-MRE) was utilized for data acquisition. Physiologic signals were recorded and used to partition data into distinct cardiac and respiratory states. With a specified signal model, we iteratively reconstructed image volumes for all states. Results: Stiffness estimates throughout the cardiac cycle were successfully obtained in two volunteers, demonstrating successful free-breathing 3D cMRE. Impact: Free-breathing cMRE will enable quantitative imaging of myocardial stiffness in a significant number of patients who are not able to perform long breath-holds. A 3D TURBINE-MRE acquisition enables temporal resolution of the heart's elastic properties throughout the cardiac cycle.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4789
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Free-Breathing 3D Cardiac Magnetic Resonance Elastography Using TURBINE-MRE

Matthew C. Murphy, Philip A. Araoz, Kevin J. Glaser, Yi Sui et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Cardiovascular Function and Risk Factors
article

Free-Breathing 3D Cardiac Magnetic Resonance Elastography Using TURBINE-MRE

Matthew C. Murphy, Philip A. Araoz, Kevin J. Glaser, Yi Sui, Joshua D. Trzasko, Ian C Chang, Nolan Meyer, Armando Manduca, Phillip J. Rossman, Kiaran P. McGee, Kejal Kantarci, Richard L. Ehman, Arvin Arani, Ekta Kapoor
article en

Abstract

Motivation: Cardiac magnetic resonance elastography (cMRE) has potential for clinically vital quantitative imaging of myocardial stiffness, but for it to become clinically viable in patients with heart failure or shortness of breath, free-breathing techniques need to be developed. Goal(s): To demonstrate the feasibility of 3D free-breathing cMRE. Approach: A 3D MRE sequence (TURBINE-MRE) was utilized for data acquisition. Physiologic signals were recorded and used to partition data into distinct cardiac and respiratory states. With a specified signal model, we iteratively reconstructed image volumes for all states. Results: Stiffness estimates throughout the cardiac cycle were successfully obtained in two volunteers, demonstrating successful free-breathing 3D cMRE. Impact: Free-breathing cMRE will enable quantitative imaging of myocardial stiffness in a significant number of patients who are not able to perform long breath-holds. A 3D TURBINE-MRE acquisition enables temporal resolution of the heart's elastic properties throughout the cardiac cycle.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 60%
Cardiovascular Function and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.