Super-resolution in brain positron emission tomography using a real-time motion capture system.
3D brain PET imaging
PET/CT
Real time
Reconstruction
Super-resolution
Tracking
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
15 05 2023
15 05 2023
Historique:
received:
11
11
2022
revised:
28
02
2023
accepted:
25
03
2023
medline:
17
4
2023
pubmed:
29
3
2023
entrez:
28
3
2023
Statut:
ppublish
Résumé
Super-resolution (SR) is a methodology that seeks to improve image resolution by exploiting the increased spatial sampling information obtained from multiple acquisitions of the same target with accurately known sub-resolution shifts. This work aims to develop and evaluate an SR estimation framework for brain positron emission tomography (PET), taking advantage of a high-resolution infra-red tracking camera to measure shifts precisely and continuously. Moving phantoms and non-human primate (NHP) experiments were performed on a GE Discovery MI PET/CT scanner (GE Healthcare) using an NDI Polaris Vega (Northern Digital Inc), an external optical motion tracking device. To enable SR, a robust temporal and spatial calibration of the two devices was developed as well as a list-mode Ordered Subset Expectation Maximization PET reconstruction algorithm, incorporating the high-resolution tracking data from the Polaris Vega to correct motion for measured line of responses on an event-by-event basis. For both phantoms and NHP studies, the SR reconstruction method yielded PET images with visibly increased spatial resolution compared to standard static acquisitions, allowing improved visualization of small structures. Quantitative analysis in terms of SSIM, CNR and line profiles were conducted and validated our observations. The results demonstrate that SR can be achieved in brain PET by measuring target motion in real-time using a high-resolution infrared tracking camera.
Identifiants
pubmed: 36977452
pii: S1053-8119(23)00202-1
doi: 10.1016/j.neuroimage.2023.120056
pmc: PMC10122782
mid: NIHMS1891313
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
120056Subventions
Organisme : NIBIB NIH HHS
ID : P41 EB022544
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG076153
Pays : United States
Organisme : NIBIB NIH HHS
ID : U01 EB027003
Pays : United States
Informations de copyright
Copyright © 2023. Published by Elsevier Inc.
Déclaration de conflit d'intérêts
Declaration of Competing Interest None.
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