Technical note: Minimizing CIED artifacts on a 0.35 T MRI-Linac using deep learning.

Journal: Journal of applied clinical medical physics
PMID: 38368615

Abstract

BACKGROUND: Artifacts from implantable cardioverter defibrillators (ICDs) are a challenge to magnetic resonance imaging (MRI)-guided radiotherapy (MRgRT).

Authors

  • Austen N Curcuru
    Department of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Deshan Yang
    Department of Radiation Oncology, Washington University School of Medicine, 4921 Parkview Place, Campus Box 8224, St. Louis, MO, 63110, USA.
  • Hongyu An
    Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri.
  • Phillip S Cuculich
    Departments of Cardiovascular Medicine and Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Clifford G Robinson
    Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, Missouri.
  • H Michael Gach
    Departments of Radiation Oncology and Radiology, Washington University, St. Louis, MO, 63110, USA.

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