Feasibility of Deep Learning-Guided Attenuation and Scatter Correction of Whole-Body 68Ga-PSMA PET Studies in the Image Domain.

Journal: Clinical nuclear medicine
PMID: 33661195

Abstract

OBJECTIVE: This study evaluates the feasibility of direct scatter and attenuation correction of whole-body 68Ga-PSMA PET images in the image domain using deep learning.

Authors

  • Samaneh Mostafapour
    From the Department of Radiology Technology, Faculty of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad.
  • Faeze Gholamiankhah
    Department of Medical Physics, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd.
  • Habibollah Dadgar
    Cancer Research Center, Razavi Hospital, Imam Reza International University, Mashhad, Iran.
  • Hossein Arabi
    Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland.
  • Habib Zaidi
    Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland. habib.zaidi@hcuge.ch.

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