Free-breathing, Highly Accelerated, Single-beat, Multisection Cardiac Cine MRI with Generative Artificial Intelligence.

Journal: Radiology. Cardiothoracic imaging
PMID:

Abstract

Purpose To develop and evaluate a free-breathing, highly accelerated, multisection, single-beat cine sequence for cardiac MRI. Materials and Methods This prospective study, conducted from July 2022 to December 2023, included participants with various cardiac conditions as well as healthy participants who were imaged using a 3-T MRI system. A single-beat sequence was implemented, collecting data for each section in one heartbeat. Images were acquired with an in-plane spatiotemporal resolution of 1.9 × 1.9 mm and 37 msec and reconstructed using resolution enhancement generative adversarial inline neural network (REGAIN), a deep learning model. Multibreath-hold k-space-segmented (4.2-fold acceleration) and free-breathing single-beat (14.8-fold acceleration) cine images were collected, both reconstructed with REGAIN. Left ventricular (LV) and right ventricular (RV) parameters between the two methods were evaluated with linear regression, Bland-Altman analysis, and Pearson correlation. Three expert cardiologists independently scored diagnostic and image quality. Scan and rescan reproducibility was evaluated in a subset of participants 1 year apart using the intraclass correlation coefficient (ICC). Results This study included 136 participants (mean age [SD], 54 years ± 15; 69 female, 67 male), 40 healthy and 96 with cardiac conditions. k-Space-segmented and single-beat scan times were 2.6 minutes ± 0.8 and 0.5 minute ± 0.1, respectively. Strong correlations ( < .001) were observed between k-space-segmented and single-beat cine parameters in both LV ( = 0.97-0.99) and RV ( = 0.89-0.98). Scan and rescan reproducibility of single-beat cine was excellent (ICC, 0.97-1.0). Agreement among readers was high, with 125 of 136 (92%) images consistently assessed as diagnostic and 133 of 136 (98%) consistently rated as having good image quality by all readers. Conclusion Free-breathing 30-second single-beat cardiac cine MRI yielded accurate biventricular measurements, reduced scan time, and maintained high diagnostic and image quality compared with conventional multibreath-hold k-space-segmented cine images. MR-Imaging, Cardiac, Heart, Imaging Sequences, Comparative Studies, Technology Assessment © RSNA, 2025.

Authors

  • Fahime Ghanbari
    From the Cardiovascular Medicine Division, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215 (M.A.M., F.G., S.N., S.A., A.A., S.Y., J.R., R.N.); Division of Cardiology, Department of Medicine, Tufts Medical Center, Boston, Mass (M.S.M., E.J.R.); Division of Cardiology, Weill Cornell Medicine, New York, NY (J.K., J.W.W.); and Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC (R.M.J.).
  • Manuel A Morales
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts.
  • Jordan A Street
    Department of Medicine, Cardiovascular Division, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA 02215.
  • Jennifer Rodriguez
    Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
  • Scott Johnson
    Medical College of Wisconsin, Milwaukee, WI, USA.
  • Patrick Pierce
    Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
  • Adele Carty
    Department of Medicine, Cardiovascular Division, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA 02215.
  • Long H Ngo
    From the Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School and Harvard School of Public Health, 1309 Beacon St, 2nd Floor, Brookline, MA 02447.
  • Christopher W Hoeger
    Department of Medicine, Cardiovascular Division, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA 02215.
  • Connie W Tsao
    Department of Medicine, Cardiovascular Division, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA 02215.
  • Warren J Manning
    Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
  • Reza Nezafat