Low-count whole-body PET/MRI restoration: an evaluation of dose reduction spectrum and five state-of-the-art artificial intelligence models.

Abstract

Authors

• Yan-Ran Joyce Wang
  Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, 725 Welch Road, CA, 94304, Stanford, USA.
• Pengcheng Wang
  Department of Plant Protection, Henan Institute of Science and Technology, Xinxiang, China.
• Lisa Christine Adams
  Department of Radiology, School of Medicine, Stanford University, 725 Welch Road, Stanford, CA, 94304, USA.
• Natasha Diba Sheybani
  Department of Biomedical Data Science, Stanford University, Stanford, CA, 94304, USA.
• Liangqiong Qu
• Amir Hossein Sarrami
  University of Semnan, Semnan, Iran.
• Ashok Joseph Theruvath
  Department of Radiology, School of Medicine, Stanford University, 725 Welch Road, Stanford, CA, 94304, USA.
• Sergios Gatidis
  Department of Radiology, Diagnostic and Interventional Radiology, Eberhard Karls University Tübingen, Germany.
• Tina Ho
  Department of Radiology, School of Medicine, Stanford University, 725 Welch Road, Stanford, CA, 94304, USA.
• Quan Zhou
  Department of Medical Laboratory, General Hospital of Southern Theater of PLA, Guangzhou 51010, China.
• Allison Pribnow
  Department of Pediatrics, Pediatric Oncology, Lucile Packard Children's Hospital, Stanford University, Stanford, CA, 94304, USA.
• Avnesh S Thakor
  Interventional Radiology, Stanford University School of Medicine, Stanford, USA.
• Daniel Rubin
  Department of Radiology, Stanford University, Stanford, CA, USA.
• Heike E Daldrup-Link
  Department of Radiology, Stanford University School of Medicine, Stanford, CA, United States of America.

Keywords

External Resources