Deep learning-based virtual noncalcium imaging in multiple myeloma using dual-energy CT.

Journal: Medical physics
Published Date: Aug 28, 2022

Abstract

BACKGROUND: Dual-energy CT with virtual noncalcium (VNCa) images allows the evaluation of focal intramedullary bone marrow involvement in patients with multiple myeloma. However, current commercial VNCa techniques suffer from excessive image noise and artifacts due to material decomposition used in synthesizing VNCa images.

Authors

  • Hao Gong
    Department of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.
  • Francis I Baffour
    Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Katrina N Glazebrook
    Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
  • Nicholas G Rhodes
    Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Christin A Tiegs-Heiden
    Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Jamison E Thorne
    Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Joselle M Cook
    Department of Medicine, Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Shaji Kumar
    Department of Medicine, Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Joel G Fletcher
    Department of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.
  • Cynthia H McCollough
    Department of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.
  • Shuai Leng
    Department of Radiology, Mayo Clinic, Rochester, MN, 55905, USA.

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