Improved accuracy for myocardial blood flow mapping with deep learning-enabled CMR arterial spin labeling (DeepMASL): Validation by microsphere in vivo

Authors

Ran Li, Washington University School of Medicine in St. Louis
Caleb Berberet, Washington University School of Medicine in St. Louis
Qi Huang, Washington University School of Medicine in St. Louis
Pamela K Woodard, Washington University School of Medicine in St. Louis
Jie Zheng, Washington University School of Medicine in St. Louis

Journal

Journal of Cardiovascular Magnetic Resonance

Publication Date

12-1-2025

Volume

27

Issue

2

First Page

101989

Document Type

Open Access Publication

DOI

10.1016/j.jocmr.2025.101989

Rights and Permissions

Li R, Berberet C, Huang Q, Woodard PK, Zheng J. Improved accuracy for myocardial blood flow mapping with deep learning-enabled CMR arterial spin labeling (DeepMASL): Validation by microsphere in vivo. J Cardiovasc Magn Reson. 2025 Winter;27(2):101989. doi: 10.1016/j.jocmr.2025.101989. © 2025 The Authors. Published by Elsevier Inc. on behalf of Society for Cardiovascular Magnetic Resonance. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Recommended Citation

Li, Ran; Berberet, Caleb; Huang, Qi; Woodard, Pamela K; and Zheng, Jie, "Improved accuracy for myocardial blood flow mapping with deep learning-enabled CMR arterial spin labeling (DeepMASL): Validation by microsphere in vivo." Journal of Cardiovascular Magnetic Resonance. 27, 2. 101989 (2025).
https://digitalcommons.wustl.edu/oa_4/6439

Department

ICTS (Institute of Clinical and Translational Sciences)