Maximum Likelihood Estimation of the Geometric Sensitivities in PET

Ahmadreza Rezaei; Timothy Deller; Kristen Wangerin; Georg Schramm; Floris Jansen; Koen Van Laere; Johan Nuyts

doi:10.1109/NSS/MIC42101.2019.9059896

Maximum Likelihood Estimation of the Geometric Sensitivities in PET

Ahmadreza Rezaei, Timothy Deller, Kristen Wangerin, Georg Schramm, Floris Jansen, Koen Van Laere, Johan Nuyts

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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
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	https://doi.org/10.1109/NSS/MIC42101.2019.9059896
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

Conference

Conference	2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019
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.

Funders	Funder number
Fonds Wetenschappelijk Onderzoek	12T7118N
Fonds Wetenschappelijk Onderzoek

Keywords

Crystal Efficiencies
Geometric Sensitivities
PET

Access to Document

10.1109/NSS/MIC42101.2019.9059896

Cite this

Rezaei, A., Deller, T., Wangerin, K., Schramm, G., Jansen, F., Van Laere, K., & Nuyts, J. (2019). Maximum Likelihood Estimation of the Geometric Sensitivities in PET. In 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019 Article 9059896 (2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSS/MIC42101.2019.9059896

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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.",

keywords = "Crystal Efficiencies, Geometric Sensitivities, PET",

author = "Ahmadreza Rezaei and Timothy Deller and Kristen Wangerin and Georg Schramm and Floris Jansen and {Van Laere}, Koen and Johan Nuyts",

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year = "2019",

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doi = "10.1109/NSS/MIC42101.2019.9059896",

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Rezaei, A, Deller, T, Wangerin, K, Schramm, G, Jansen, F, Van Laere, K & Nuyts, J 2019, Maximum Likelihood Estimation of the Geometric Sensitivities in PET. in 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019., 9059896, 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019, Manchester, United Kingdom, 10/26/19. https://doi.org/10.1109/NSS/MIC42101.2019.9059896

Maximum Likelihood Estimation of the Geometric Sensitivities in PET. / Rezaei, Ahmadreza; Deller, Timothy; Wangerin, Kristen et al.
2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9059896 (2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Rezaei A, Deller T, Wangerin K, Schramm G, Jansen F, Van Laere K et al. Maximum Likelihood Estimation of the Geometric Sensitivities in PET. In 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 9059896. (2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019). doi: 10.1109/NSS/MIC42101.2019.9059896

Maximum Likelihood Estimation of the Geometric Sensitivities in PET

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