The school will cover basic principles of the physics behind the acquisition process and image reconstruction methods used for PET and SPECT, with specific information on the challenges for Total Body PET. We will also briefly cover MR aspects. The school will include practical sessions with the Open Source software Synergistic Image Reconstruction Framework (SIRF).

The school will consist of a set of short lecture-style presentations followed by project-based work using SIRF (in Python). Planned projects include Long Axial FOV PET reconstruction issues, Joint Activity and Attenuation estimation, Machine Learning for basic inverse problems, and Synergistic Reconstruction for PET/SPECT/MR. Participants will be expected to get basic familiarity with image reconstruction, SIRF and Python beforehand. Appropriate training material will be distributed before the school.

Tentative schedule:

• 8.30 – 10.30
  • School intro
  • PET+SPECT physics
  • LAFOV challenges
  • MR
  • Machine Learning
• Projects descriptions (5 min each)
  • LAFOV
  • MLAA
  • Using anatomical guidance
  • ML
  • Expected Interactions between projects
• 10.30 – 11.00
  • Coffee break
• 11.00 – 12.40
  • Group allocation
  • Project work
  • Project status reports from each group
• 12.40 – 15.30
  • Lunch break
• 15.30 – 17.10
  • Group re-allocation if required
  • Project work
• 17.10 – 17.40
  • Coffee break
• 17.30 – 19.00
  • Project work
  • Project status reports from each group
  • Summary and outlook (Kris, 5 mins)