Quantitative susceptibility mapping in magnetically inhomogeneous tissues.

Journal: Magnetic resonance in medicine
Published Date: May 1, 2025

Abstract

PURPOSE: Conventional quantitative susceptibility mapping (QSM) methods rely on simplified physical models that assume isotropic and homogeneous tissue properties, leading to artifacts and inaccuracies in biological tissues. This study aims to develop and evaluate DEEPOLE, a deep learning-based method that incorporates macroscopically nondipolar Larmor frequency shifts into QSM to enhance the quality and accuracy of susceptibility maps.

Authors

  • Thomas Jochmann
    Department of Computer Science and Automation, Technische Universität Ilmenau, Ilmenau, Germany.
  • Fahad Salman
    Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences at the University at Buffalo, The State University of New York, Buffalo, New York, USA.
  • Michael G Dwyer
    Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.
  • Niels Bergsland
    Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences and University of Buffalo, The State University of New York, Buffalo, NY, USA.
  • Robert Zivadinov
    Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences at the University at Buffalo, The State University of New York, Buffalo, New York, USA.
  • Jens Haueisen
    Institute of Biomedical Engineering and Informatics, Ilmenau University of Technology, Ilmenau, Germany.
  • Ferdinand Schweser
    Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences at the University at Buffalo, The State University of New York, Buffalo, New York, USA.

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