Untrained Network for Super-resolution for Non-contrast-enhanced Wholeheart MRI Acquired using Cardiac-triggered REACT (SRNN-REACT).

Journal: Current medical imaging

PMID: 39592904

Abstract

BACKGROUND: Three-dimensional (3D) whole-heart magnetic resonance imaging (MRI) is an excellent tool to check the heart anatomy of patients with congenital and acquired heart disease. However, most 3D whole-heart MRI acquisitions take a long time to perform, and the sequence used is susceptible to banding artifacts.

Authors

Corbin Maciel

Department of Biomedical Engineering, University of Texas Southwestern Medical Center, Dallas, USA.
Tayaba Miah

Division of Pediatric Cardiology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, USA.
Qing Zou

Division of Pediatric Cardiology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, USA.

Keywords

Adolescent Child Child, Preschool Female Heart Heart Diseases Humans Imaging, Three-Dimensional Infant Magnetic Resonance Imaging Male Neural Networks, Computer Signal-To-Noise Ratio

External Resources

View on PubMed Access via DOI PubMed (39592904)

Untrained Network for Super-resolution for Non-contrast-enhanced Wholeheart MRI Acquired using Cardiac-triggered REACT (SRNN-REACT).

Abstract

Authors

Keywords

External Resources

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