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 proceedingConference contributionpeer-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 languageEnglish
Title of host publication2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728141640
DOIs
StatePublished - Oct 2019
Externally publishedYes
Event2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019 - Manchester, United Kingdom
Duration: Oct 26 2019Nov 2 2019

Publication series

Name2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019

Conference

Conference2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019
Country/TerritoryUnited Kingdom
CityManchester
Period10/26/1911/2/19

Funding

Manuscript received on 13 December 2019. This work was supported by a fellowship from GE Healthcare.

FundersFunder number
GE Healthcare

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