Deep Learning-Based Breath-Hold and Free-Breathing Cine MRI for Comprehensive Cardiac Evaluation.

ABSTRACT:

Objective

To evaluate and compare scan times, measurement accuracy, and image quality (IQ) of free-breathing (FB) and breath-hold (BH) deep learning (DL) cine MRI sequences versus standard cine MRI, with a specific focus on patients with arrhythmia and dyspnea.

Materials and methods

Seventy participants were prospectively enrolled, including 24 with arrhythmia, 17 with dyspnea, and 29 with normal sinus rhythm and eupnea (mean age, 49 ± 17 years). Each patient underwent three cine MRI acquisitions (standard cine, BHDL, and FBDL) on a 3T scanner. Quantitative assessments of biventricular function, left ventricular mass, and myocardial strain were independently performed by three radiologists, blinded to image acquisition techniques. IQ was evaluated by the same readers using b

SUBMITTER: Wu Y 

PROVIDER: S-EPMC12479228 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature