Effect of Image Noise on Registration in PET Brain Imaging

Matthew G. Spangler-Bickell; Timothy Deller; Samuel A. Hurley; Alan B. McMillan; Valentino Bettinardi; Floris Jansen

doi:10.1109/NSS/MIC42101.2019.9059920

Effect of Image Noise on Registration in PET Brain Imaging

Matthew G. Spangler-Bickell, Timothy Deller, Samuel A. Hurley, Alan B. McMillan, Valentino Bettinardi, Floris Jansen

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

2 Scopus citations

Abstract

Rigid image registration techniques can be used in PET imaging to align frames acquired during a brain scan where motion may or may not have been present during the scan. The subsequent estimated motion parameters can be used to correct for the motion. Shorter frames provide better temporal resolution but suffer from increased noise, which may degrade the quality of the image registration. The relationship between the image noise (by proxy of the frame count level) and the accuracy of the image registration is investigated. For FDG brain studies, a true coincidence level of 200×10³ (usually approximately 1 sec frame duration) was found to provide adequate image quality for accurate registration.

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/MIC42101.2019.9059920
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 on 13 December 2019. This work was supported by a fellowship from GE Healthcare.

Access to Document

10.1109/NSS/MIC42101.2019.9059920

Cite this

Spangler-Bickell, M. G., Deller, T., Hurley, S. A., McMillan, A. B., Bettinardi, V., & Jansen, F. (2019). Effect of Image Noise on Registration in PET Brain Imaging. In 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019 Article 9059920 (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/MIC42101.2019.9059920

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title = "Effect of Image Noise on Registration in PET Brain Imaging",

abstract = "Rigid image registration techniques can be used in PET imaging to align frames acquired during a brain scan where motion may or may not have been present during the scan. The subsequent estimated motion parameters can be used to correct for the motion. Shorter frames provide better temporal resolution but suffer from increased noise, which may degrade the quality of the image registration. The relationship between the image noise (by proxy of the frame count level) and the accuracy of the image registration is investigated. For FDG brain studies, a true coincidence level of 200×103 (usually approximately 1 sec frame duration) was found to provide adequate image quality for accurate registration.",

author = "Spangler-Bickell, {Matthew G.} and Timothy Deller and Hurley, {Samuel A.} and McMillan, {Alan B.} and Valentino Bettinardi and Floris Jansen",

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year = "2019",

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doi = "10.1109/NSS/MIC42101.2019.9059920",

language = "English",

series = "2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019",

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Spangler-Bickell, MG, Deller, T, Hurley, SA, McMillan, AB, Bettinardi, V & Jansen, F 2019, Effect of Image Noise on Registration in PET Brain Imaging. in 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019., 9059920, 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/MIC42101.2019.9059920

Effect of Image Noise on Registration in PET Brain Imaging. / Spangler-Bickell, Matthew G.; Deller, Timothy; Hurley, Samuel A. et al.
2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9059920 (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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AU - Jansen, Floris

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AB - Rigid image registration techniques can be used in PET imaging to align frames acquired during a brain scan where motion may or may not have been present during the scan. The subsequent estimated motion parameters can be used to correct for the motion. Shorter frames provide better temporal resolution but suffer from increased noise, which may degrade the quality of the image registration. The relationship between the image noise (by proxy of the frame count level) and the accuracy of the image registration is investigated. For FDG brain studies, a true coincidence level of 200×103 (usually approximately 1 sec frame duration) was found to provide adequate image quality for accurate registration.

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Spangler-Bickell MG, Deller T, Hurley SA, McMillan AB, Bettinardi V, Jansen F. Effect of Image Noise on Registration in PET Brain Imaging. In 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 9059920. (2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019). doi: 10.1109/NSS/MIC42101.2019.9059920

Effect of Image Noise on Registration in PET Brain Imaging

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