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PETAL-3D: Progressive Elimination of Noise Towards Accurate Ultra Low-Count PET Images Using 3D U-Nets

  • Ezzat Elmoujarkach
  • , Fabian Schmidt
  • , Eduardo Calderón
  • , Wenhong Lan
  • , Pia M. Linder
  • , Lena S. Kiefer
  • , Christian la Fougère
  • , Magdalena Rafecas*
  • *Corresponding author for this work
  • Department of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen
  • Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, Eberhard Karls University Tuebingen
Original languageEnglish
JournalIEEE Transactions on Radiation and Plasma Medical Sciences
ISSN2469-7311
DOIs
Publication statusPublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Research Areas and Centers

  • Centers: Center of Imaging Sciences (CIS)
  • Academic Focus: Biomedical Engineering

DFG Research Classification Scheme

  • 2.22-32 Medical Physics, Biomedical Technology

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