CEST and nuclear Overhauser enhancement imaging with deep learning-extrapolated semisolid magnetization transfer reference: Scan-rescan reproducibility and reliability studies.

Journal: Magnetic resonance in medicine
PMID: 38009996

Abstract

PURPOSE: To develop a novel MR physics-driven, deep-learning, extrapolated semisolid magnetization transfer reference (DeepEMR) framework to provide fast, reliable magnetization transfer contrast (MTC) and CEST signal estimations, and to determine the reproducibility and reliability of the estimates from the DeepEMR.

Authors

  • Hye-Young Heo
    Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA. Electronic address: hheo1@jhmi.edu.
  • Munendra Singh
    Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.
  • Vivek Yedavalli
    Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Shanshan Jiang
    Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.
  • Jinyuan Zhou
    Cancer Hospital Affiliated to Harbin Medical University, Heilongjiang, Harbin 150000, China.

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