Image Quality Evaluation in Dual-Energy CT of the Chest, Abdomen, and Pelvis in Obese Patients With Deep Learning Image Reconstruction.

Journal: Journal of computer assisted tomography
Published Date: Apr 27, 2022

Abstract

OBJECTIVE: The aim of this study was to evaluate image quality in vascular and oncologic dual-energy computed tomography (CT) imaging studies performed with a deep learning (DL)-based image reconstruction algorithm in patients with body mass index of ≥30.

Authors

  • Eric Fair
    From the Departments of Radiology.
  • Mark Profio
    From the Departments of Radiology.
  • Naveen Kulkarni
    From the Departments of Radiology.
  • Peter S Laviolette
    From the Departments of Radiology.
  • Bret Barnes
    From the Departments of Radiology.
  • Samuel Bobholz
    Biophysics, Medical College of Wisconsin, Milwaukee, WI.
  • Maureen Levenhagen
    From the Departments of Radiology.
  • Robin Ausman
    From the Departments of Radiology.
  • Michael O Griffin
    From the Departments of Radiology.
  • Petar Duvnjak
    From the Departments of Radiology.
  • Adam P Zorn
    From the Departments of Radiology.
  • W Dennis Foley
    From the Departments of Radiology.

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