Improved MRI detection of inflammation-induced changes in bone marrow microstructure in mice: a machine learning-enhanced T2 distribution analysis.

Journal: European radiology experimental
PMID: 40140174

Abstract

BACKGROUND: We investigated inflammation-induced changes in femoral hematopoietic bone marrow using advanced magnetic resonance imaging (MRI) techniques, including T2-weighted imaging, scalar T2 mapping, and machine learning-enhanced T2 distribution analysis to improve the detection of bone marrow microstructural alterations. Findings were correlated with histological markers and systemic inflammation.

Authors

  • Luise Brock
    Institute of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
  • Hadas Ben-Atya
    Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel.
  • Ashish Tiwari
    Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology, Nagpur, 440010, India. Electronic address: atiwari.rcs@gmail.com.
  • Dareen Saab
    Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel.
  • Narmeen Haj
    Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel.
  • Lukas Folle
    Pattern Recognition Lab-Computer Science, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany. lukas.folle@fau.de.
  • Galit Saar
    Biomedical Core Facility, Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
  • Andreas Maier
    Pattern Recognition Lab, University Erlangen-Nürnberg, Erlangen, Germany.
  • Moti Freiman
    Philips Medical Systems Technologies Ltd., Advanced Technologies Center, Haifa, 3100202, Israel.
  • Katrien Vandoorne
    Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel. k.vandoorne@technion.ac.il.

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