Deep learning for x-ray scatter correction in dedicated breast CT.

Journal: Medical physics
Published Date: Jan 7, 2023

Abstract

BACKGROUND: Accurate correction of x-ray scatter in dedicated breast computed tomography (bCT) imaging may result in improved visual interpretation and is crucial to achieve quantitative accuracy during image reconstruction and analysis.

Authors

  • Juan J Pautasso
    Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Marco Caballo
    Department of Radiology and Nuclear Medicine, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
  • Mikhail Mikerov
    Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
  • John M Boone
    Department of Radiology and Biomedical Engineering, University of California Davis Health, 4860 "Y" street, suite 3100 Ellison building, Sacramento, CA, 95817, USA.
  • Koen Michielsen
    Department of Medical Imaging, Radboud University Medical Center, the Netherlands.
  • Ioannis Sechopoulos
    Department of Radiology and Nuclear Medicine, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.

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