Evaluation of STIR Library Adapted for PET Scanners with Non-Cylindrical Geometry

Viet Dao*, Ekaterina Mikhaylova, Max L. Ahnen, Jannis Fischer, Kris Thielemans, Charalampos Tsoumpas

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
9 Downloads (Pure)


Software for Tomographic Image Reconstruction (STIR) is an open source C++ library used to reconstruct single photon emission tomography and positron emission tomography (PET) data. STIR has an experimental scanner geometry modelling feature to accurately model detector placement. In this study, we test and improve this new feature using several types of data: Monte Carlo simulations and measured phantom data acquired from a dedicated brain PET prototype scanner. The results show that the new geometry class applied to non-cylindrical PET scanners improved spatial resolution, uniformity, and image contrast. These are directly observed in the reconstructions of small features in the test quality phantom. Overall, we conclude that the revised "BlocksOnCylindrical" class will be a valuable addition to the next STIR software release with adjustments of existing features (Single Scatter Simulation, forward projection, attenuation corrections) to "BlocksOnCylindrical".

Original languageEnglish
Article number172
Number of pages13
JournalJournal of Imaging
Issue number6
Publication statusPublished - 18-Jun-2022


  • tomography
  • image reconstruction
  • brain
  • imaging

Cite this