Deep-learning synthesized pseudo-CT for MR high-resolution pediatric cranial bone imaging (MR-HiPCB).

Journal: Magnetic resonance in medicine
PMID: 35713359

Abstract

PURPOSE: CT is routinely used to detect cranial abnormalities in pediatric patients with head trauma or craniosynostosis. This study aimed to develop a deep learning method to synthesize pseudo-CT (pCT) images for MR high-resolution pediatric cranial bone imaging to eliminating ionizing radiation from CT.

Authors

  • Parna Eshraghi Boroojeni
    Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri.
  • Yasheng Chen
    Department of Neurology, Washington University School of Medicine, Saint Louis, Missouri.
  • Paul K Commean
    Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri.
  • Cihat Eldeniz
    Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri.
  • Gary B Skolnick
    Division of Plastic and Reconstructive Surgery, Washington University in St. Louis, St. Louis, Missouri.
  • Corinne Merrill
    Division of Plastic and Reconstructive Surgery, Washington University in St. Louis, St. Louis, Missouri.
  • Kamlesh B Patel
    Division of Plastic and Reconstructive Surgery, Washington University in St. Louis, St. Louis, Missouri.
  • Hongyu An
    Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri.

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