Generation of synthetic CT from MRI for MRI-based attenuation correction of brain PET images using radiomics and machine learning.

Journal: Medical physics
Published Date: May 12, 2025

Abstract

BACKGROUND: Accurate quantitative PET imaging in neurological studies requires proper attenuation correction. MRI-guided attenuation correction in PET/MRI remains challenging owing to the lack of direct relationship between MRI intensities and linear attenuation coefficients.

Authors

  • Amin Hoseinipourasl
    Research Center for Molecular and Cellular Imaging (RCMCI), Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences (TUMS), Tehran, Iran.
  • Gholam-Ali Hossein-Zadeh
    School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
  • Peyman Sheikhzadeh
    Nuclear Medicine Department, IKHC, Faculty of Medicine, Tehran University of Medical Science, Tehran, Iran.
  • Hossein Arabalibeik
    Research Center for Biomedical Technologies and Robotics (RCBTR), Tehran University of Medical Sciences, Tehran, Iran.
  • Shaghayegh Karimi Alavijeh
    Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
  • Habib Zaidi
    Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland. habib.zaidi@hcuge.ch.
  • Mohammad Reza Ay
    Research Center for Molecular and Cellular Imaging (RCMCI), Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences (TUMS), Tehran, Iran.

Keywords

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