451-03-009 / 451-03-009 ISMRM Abstract

Clinical Validation of a Vendor-Agnostic AI for Accelerated Cardiac MRI: A Prospective, Multi-Vendor Study in Post-Infarction

Primary: Acquisition & Reconstruction - Image Reconstruction: AI

Secondary: Cardiovascular - Myocardium

451-03-009 · Cardiac Structure, Function, and Tissue Characterization · Tuesday, 12 May, 4:00 PM–5:36 PM · Power Pitch Theatre 1

Keywords: Ischemia Cardiac MRI Deep learning reconstruction

Accepted

Jin-Yi Xiang ¹, Hui Tang¹, Yan Zhou¹, Lian-Ming Wu¹

¹Department of Radiology, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China

Presenting Author: Jin-Yi Xiang

Synopsis

Motivation:

Goals:

Approach:

Results:

Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

References

1. Masutani EM, Bahrami N, Hsiao A. Deep Learning Single-Frame and Multiframe Super-Resolution for Cardiac MRI. Radiology 2020;295(3):552–561. doi:10.1148/radiol.2020192173. [doi]

2. Yoon S, Nakamori S, Amyar A, et al. Accelerated Cardiac MRI Cine with Use of Resolution Enhancement Generative Adversarial Inline Neural Network. Radiology 2023;307(5):e222878. doi:10.1148/radiol.222878. [doi]

3. Zucker EJ, Sandino CM, Kino A, Lai P, Vasanawala SS. Free-breathing Accelerated Cardiac MRI Using Deep Learning: Validation in Children and Young Adults. Radiology 2021;300(3):539–548. doi:10.1148/radiol.2021202624. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/451-03-009