Noise and spatial resolution properties of a commercially available deep learning-based CT reconstruction algorithm.

Journal: Medical physics
Published Date: Jul 6, 2020

Abstract

PURPOSE: To characterize the noise and spatial resolution properties of a commercially available deep learning-based computed tomography (CT) reconstruction algorithm.

Authors

  • Justin Solomon
    Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, 2424 Erwin Road, Suite 302, Durham, NC, 27705, USA.
  • Peijei Lyu
    Department of Radiology, Duke University Medical Center, Durham, NC, USA.
  • Daniele Marin
    Department of Radiology, Duke University, Durham, NC, 27710, USA.
  • Ehsan Samei
    Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, 2424 Erwin Road, Suite 302, Durham, NC, 27705, USA.

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