Effective Image Resolution for Partial Volume Correction in FDG-PET Brain Imaging: A Proof of Concept
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00384301" target="_blank" >RIV/68407700:21230/25:00384301 - isvavai.cz</a>
Alternative codes found
RIV/00098892:_____/25:10159438
Result on the web
<a href="https://ieeexplore.ieee.org/document/11068065" target="_blank" >https://ieeexplore.ieee.org/document/11068065</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MeMeA65319.2025.11068065" target="_blank" >10.1109/MeMeA65319.2025.11068065</a>
Alternative languages
Result language
angličtina
Original language name
Effective Image Resolution for Partial Volume Correction in FDG-PET Brain Imaging: A Proof of Concept
Original language description
Neuroimaging of subtle hypometabolic epileptogenic lesions using 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) is challenging due to its limited spatial resolution, which causes partial volume effects (PVE), leading to image blurring and underestimation of radiotracer activity. Partial volume correction (PVC) post-processing compensates for the blurring, but relies on accurate knowledge of the point spread function (PSF), which must be provided as an input parameter. However, no guidelines exist for determining an appropriate PSF value, which varies with scanner type, reconstruction algorithm, and scanned object properties. We conducted phantom measurements on Siemens Biograph mCT 40 and Vision 600 scanners using a clinical reconstruction protocol to compare two PSF estimation methods: one based on capillary phantom (following NEMA) and another using effective image resolution (EIR) of Hoffman phantom images (following EARL guideline). The impact of the PSF estimation method on PVC performance was assessed using image quality metrics: gray matter recovery coefficient (GMRC), gray matter edge recovery coefficient (GMERC), and gray matter coefficient of variation (GMCOV). PVC with both PSF estimation methods improved image quality compared to the original images. However, PVC with input PSF estimated by EIR showed better performance than PVC with capillary-based estimate: GMRC was 92-94% vs. 85-86%, GMERC was 85-90% vs. 78-79%, and lower GMCOV: 18-22% vs. 20-23%. These findings suggest that the estimation of input PSF by EIR could be a more reliable and practical approach for PVC in clinical FDG-PET brain imaging, especially since it is already used in the EARL F/C Brain PET/CT Accreditation.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 IEEE Medical Measurements & Applications
ISBN
979-8-3315-2347-3
ISSN
2837-5874
e-ISSN
2837-5882
Number of pages
6
Pages from-to
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Publisher name
IEEE Industrial Electronic Society
Place of publication
Vienna
Event location
Chania
Event date
May 28, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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