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This repository contains the official code for the IJCAI 2025 paper: Direct Estimation of Attenuation Information from Sinograms for Positron Emission Tomography Reconstruction

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Direct Estimation of Attenuation Information from Sinograms for Positron Emission Tomography Reconstruction

License: GPL v3

This repository contains the official code for the IJCAI 2025 paper:

Direct Estimation of Attenuation Information from Sinograms for Positron Emission Tomography Reconstruction

πŸ“š Paper Information

  • Conference: IJCAI 2025
  • Proceedings : IJCAI 2025 Proceedings
  • Authors:
    • Prabath Hetti Mudiyanselage (RMIT University)
    • Ruwan Tennakoon (RMIT University)
    • John Thangarajah (RMIT University)
    • Robert Ware (Cyclotek (Aust) Pty Ltd.)
    • Jason Callahan (Melbourne Theranostic Innovation Centre)

🀝 Support

This research is supported by:

  • Cyclotek (Aust) Pty Ltd.
  • Australian Government Research Training Program (RTP) Scholarship

πŸ“ Project Structure

  • Simulation/ – Sinogram generation and preprocessing details
  • Models/ – Model architectures
  • Evaluation/ – Evaluation and analysis details
  • environment.yml – Conda environment configuration
  • LICENSE – GPLv3 license
  • README.md – Project README

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This repository contains the official code for the IJCAI 2025 paper: Direct Estimation of Attenuation Information from Sinograms for Positron Emission Tomography Reconstruction

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