Evaluation of the prostate cancer and its metastases in the [ 68 Ga]Ga-PSMA PET/CT images: deep learning method vs. conventional PET/CT processing.

Journal: Nuclear medicine communications
PMID:

Abstract

PURPOSE: This study demonstrates the feasibility and benefits of using a deep learning-based approach for attenuation correction in [ 68 Ga]Ga-PSMA PET scans.

Authors

  • Masoumeh Dorri Giv
    Nuclear Medicine Research Center, Department of Nuclear Medicine, Ghaem Hospital, Mashhad University of Medical Science, Mashhad, Iran, .
  • Hossein Arabi
    Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland.
  • Shahrokh Naseri
    Department of Medical Physics, Faculty of Medicine, Mashhad University of Medical Science, Mashhad, .
  • Leila Alipour Firouzabad
    Department of Radition Technology, Radiation Biology Research Center, Iran University of Medical Sciences, Tehran and .
  • Atena Aghaei
    Nuclear Medicine Research Center, Department of Nuclear Medicine, Ghaem Hospital, Mashhad University of Medical Science, Mashhad, Iran, .
  • Emran Askari
    Nuclear Medicine Research Center, Department of Nuclear Medicine, Ghaem Hospital, Mashhad University of Medical Science, Mashhad, Iran, .
  • Nasrin Raeisi
    Nuclear Medicine Research Center, Department of Nuclear Medicine, Ghaem Hospital, Mashhad University of Medical Science, Mashhad, Iran, .
  • Amin Saber Tanha
    Nuclear Medicine Research Center, Department of Nuclear Medicine, Ghaem Hospital, Mashhad University of Medical Science, Mashhad, Iran, .
  • Zahra Bakhshi Golestani
    Nuclear Medicine Research Center, Department of Nuclear Medicine, Ghaem Hospital, Mashhad University of Medical Science, Mashhad, Iran, .
  • Amir Hossein Dabbagh Kakhki
    Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran.
  • Vahid Reza Dabbagh Kakhki
    Nuclear Medicine Research Center, Department of Nuclear Medicine, Ghaem Hospital, Mashhad University of Medical Science, Mashhad, Iran, .