School content

Lectures

All lectures have been recorded and made available on this youtube playlist.

Exercises

• Write your own PET or SPECT reconstruction algorithm
• Synergistic PET and SPECT reconstruction
• Image reconstruction using Deep Learning

Announcement

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 TotalBody 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 half day of lecture-style presentations followed by project-based work using SIRF (in Python). For maximum benefit, participants will be expected to get basic familiarity with SIRF and Python beforehand. Appropriate training material will be distributed before the school.

School organiser

Prof. Kris Thielemans (University College London) and Prof. Andrew Reader (King's College London) with assistance by Prof. Nicola Belcari (University of Pisa) for local arrangements.

Speakers

Prof. Andrew Reader (King’s College London), Prof. Kris Thielemans (University College London), Dr. Christoph Kolbitsch (PTB, Berlin) and Dr. David Atkinson (University College London). Full list TBC.

Further info at https://psmrtbp2022.df.unipi.it/pages/training-school-on-petmr-reconstru...