Abstract
We present the first open-source version of STIR-GATE-Connection, a project that aims to provide an easy-to-use pipeline to simulate realistic PET data using GATE, followed by quantitative reconstruction using STIR. Monte Carlo simulations and image reconstruction are powerful research tools for emission tomography that can assist with the design of new medical imaging devices as well as the evaluation of novel image reconstruction algorithms and various correction techniques. STIR-GATE-Connection is a collection of scripts that aid with the: (i) setup of a realistic GATE simulation of a voxelised phantom using a user selected scanner configuration, (ii) conversion of the output list mode data into STIR compatible sinograms, and (iii) computation of additive and multiplicative data corrections for Poisson image reconstruction using STIR. In this work, we demonstrate example usage of these steps. A public release of STIR-GATE-Connection, licensed under the Apache 2.0 License, can be downloaded at: http://www.github.com/UCL/STIR-GATE-Connection.
Original language | English |
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Title of host publication | 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022 |
Editors | Hideki Tomita, Tatsuya Nakamura |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781665421133 |
DOIs | |
Publication status | Published - 16 Oct 2021 |
Event | 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2021 - Virtual, Yokohama, Japan Duration: 16 Oct 2021 → 23 Oct 2021 |
Publication series
Name | 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022 |
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Conference
Conference | 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2021 |
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Country/Territory | Japan |
City | Virtual, Yokohama |
Period | 16/10/21 → 23/10/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- data-correction
- image reconstruction
- Monte Carlo simulation