"Image quality evaluation of the Precise image CT deep learning reconstruction algorithm compared to Filtered Back-projection and iDose: a phantom study at different dose levels".

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Published Date: Jan 18, 2023

Abstract

PURPOSE: To characterize the performance of the Precise Image (PI) deep learning reconstruction (DLR) algorithm for abdominal Computed Tomography (CT) imaging.

Authors

  • Patrizio Barca
    Department of Medical Physics, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy. Electronic address: patrizio.barca@ao-pisa.toscana.it.
  • Sara Domenichelli
    Department of Medical Physics, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
  • Rita Golfieri
    Department of Specialized, Diagnostic and Experimental Medicine (DIMES), S. Orsola Hospital, University of Bologna, Bologna, Italy.
  • Luisa Pierotti
    Department of Medical Physics, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
  • Lorenzo Spagnoli
    Department of Medical Physics, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy; Medical Physics Specialization School, Alma Master Studiorium, University of Bologna, Bologna, Italy.
  • Silvia Tomasi
    Department of Medical Physics, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy; Medical Physics Specialization School, Alma Master Studiorium, University of Bologna, Bologna, Italy.
  • Lidia Strigari
    IRCCS Azienda Ospedaliera Universitaria di Bologna, Medical Physics Department, Bologna, Italy. Electronic address: lidia.strigari@aosp.bo.it.

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