Artificial intelligence-assisted compressed sensing CINE enhances the workflow of cardiac magnetic resonance in challenging patients
Huaijun Wang, Anne Schmieder, Mary Watkins, Pengjun Wang, Joshua Mitchell, S Zyad Qamer, Gregory Lanza
Huaijun Wang, United Imaging Healthcare, Houston, TX 77054, United States
Anne Schmieder, Mary Watkins, Pengjun Wang, Joshua Mitchell, S Zyad Qamer, Gregory Lanza, Division of Cardiology, Washington University in Saint Louis, Saint Louis, MO 63108, United States
Author contributions: Wang H, Schmieder A, Watkins M, and Lanza G designed the study; Wang H, Schmieder A, Watkins M, Wang P, Micthell J, Qamaer SZ, and Lanza G performed the study; Wang H and Lanza G wrote the manuscript; Wang H and Schmieder A created the figures. All authors approved the manuscript.
Supported by James Russell Hornsby and Jun Xiong Fund and United Imaging Healthcare.
Institutional review board statement: The study was approved by Washington University in Saint Louis Human Research Protection Office, with IRB ID number 202003199.
Informed consent statement: All participants provided written informed consent to participate after being fully informed about the study’s objectives, procedures, potential risks, benefits, and confidentiality measures.
Conflict-of-interest statement: Dr. Lanza reports research MRI support (equipment, service, and technical collaboration) from United Imaging Healthcare.
CONSORT 2010 statement: The authors have read the CONSORT 2010 Statement, and the manuscript was prepared and revised according to the CONSORT 2010 Statement.
Data sharing statement: All data generated or analyzed during this study are included in this published article. Additional data related to this research are available from the corresponding author upon reasonable request.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See:
https://creativecommons.org/Licenses/by-nc/4.0/ Corresponding author: Gregory Lanza, MD, PhD, Division of Cardiology, Washington Univer
sity in Saint Louis, Cortex One Building 4320 Forest Park Ave, Saint Louis, MO 63108, United States.
gmlanza@wustl.edu
Received: April 24, 2025
Revised: June 4, 2025
Accepted: July 1, 2025
Published online: July 26, 2025
Processing time: 89 Days and 13.9 Hours
