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

doi:10.3390/jimaging8060172

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

Guided Treatment in Optimal Selected Cancer Patients (GUTS)

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Abstract

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 language	English
Article number	172
Number of pages	13
Journal	Journal of Imaging
Volume	8
Issue number	6
DOIs	https://doi.org/10.3390/jimaging8060172
Publication status	Published - 18-Jun-2022

Keywords

tomography
image reconstruction
brain
imaging
RECONSTRUCTION
ALGORITHM

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title = "Evaluation of STIR Library Adapted for PET Scanners with Non-Cylindrical Geometry",

abstract = "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{"}.",

keywords = "tomography, image reconstruction, brain, imaging, RECONSTRUCTION, ALGORITHM",

author = "Viet Dao and Ekaterina Mikhaylova and Ahnen, {Max L.} and Jannis Fischer and Kris Thielemans and Charalampos Tsoumpas",

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AU - Dao, Viet

AU - Mikhaylova, Ekaterina

AU - Ahnen, Max L.

AU - Fischer, Jannis

AU - Thielemans, Kris

AU - Tsoumpas, Charalampos

PY - 2022/6/18

Y1 - 2022/6/18

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AB - 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".

KW - tomography

KW - image reconstruction

KW - brain

KW - imaging

KW - RECONSTRUCTION

KW - ALGORITHM

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