Abstract
In this work, we propose a maximum likelihood method to compute geometric and efficiency related corrections from PET emission data. In order to reduce the number of unknowns being estimated, a component and crystal based model is used for the geometric and efficiency based corrections, respectively. In a long acquisition of a uniform phantom scan, we show how inaccuracies in the projector or the scanner geometry can create observable artefacts in the reconstructions. Once the geometric and efficiency related corrections are re-estimated with our in-house projector the artifacts are eliminated.
Original language | English |
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Title of host publication | 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728141640 |
DOIs | |
State | Published - Oct 2019 |
Externally published | Yes |
Event | 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019 - Manchester, United Kingdom Duration: Oct 26 2019 → Nov 2 2019 |
Publication series
Name | 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019 |
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Conference
Conference | 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019 |
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Country/Territory | United Kingdom |
City | Manchester |
Period | 10/26/19 → 11/2/19 |
Funding
Manuscript received December 13, 2019. This work was supported by the Research Foundation Flanders (FWO) 12T7118N.
Keywords
- Crystal Efficiencies
- Geometric Sensitivities
- PET