Clinical evaluation of PET image reconstruction using a spatial resolution model
Abstract
Purpose PET image resolution is variable across the measured field-of-view and described by the point spread function (PSF). When accounting for the PSF during PET image reconstruction image resolution is improved and partial volume effects are reduced. Here, we evaluate the effect of PSF-based reconstruction on lesion quantification in routine clinical whole-body (WB) PET/CT imaging. Materials and methods 41 oncology patients were referred for a WB-PET/CT examination (Biograph 40 TruePoint). Emission data were acquired at 2.5 min/bed at 1 hpi of 400 MBq [18F]-FDG. Attenuation-corrected PET images were reconstructed on 336 × 336-matrices using: (R1) standard AW-OSEM (4 iter, 8 subsets, 4 mm Gaussian) and (R2) AW-OSEM with PSF (3 iter, 21 subsets, 2 mm). Blinded and randomised reading of R1- and R2-PET images was performed. Individual lesions were located and counted independently on both sets of images. The relative change in PET quantification (SUVmax, SUVmean, volume) of lesions seen on R1 and R2 is reported as (R2-R1)/R1. Furthermore, SUVmax and SUVmean was measured for a 3 cm spherical norm region in the right lobe of the healthy liver for R1 and R2. Results Clinical reading revealed 91 and 103 positive lesions for R1 and R2, respectively. For all lesions SUVmax (R2) was higher than SUVmax (R1). Regression analysis indicated that the relative increase in SUVmax (and SUVmean) decreased with lesion size, whilst it increased with increasing radial distance from the centre of…
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Discrepancies about PSF may stem from the ability of PSF to increase lesion contrast recovery being most prominent at the periphery of the transaxial FOV and in small, high-contrast lesions such as pulmonary nodules.
“These discrepancies may stem from the fact that the ability of PSF to increase lesion CR is most prominent at the periphery of the transaxial FOV [98,166,167] and in small, high-contrast lesions [95], such as pulmonary nodules.”
From Influences on PET Quantification and Interpretation (2022) · cites this paper as [166]
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References 31 · Cited by 62
- Authors
- Andersen, F. L., Klausen, T. L., Loft, A., Beyer, T., & Holm, S.
- Affiliations
- Copenhagen University Hospital (DK)
- Corresponding author
- Holm, Søren
- Venue
- European Journal of Radiology
- Publisher
- Elsevier BV
- Published
- 2013-05
- Volume
- 82
- Issue
- 5
- Pages
- 862-869
- ISSN
- 0720-048X (ISSN-L)
- OpenAlex
- W2049231321
- Cited by
- 62
- References
- 31
- Citations by year
- 2024: 3 · 2023: 2 · 2022: 2 · 2021: 9 · 2020: 4 · 2019: 6 · 2018: 8 · 2017: 9 · 2016: 2 · 2015: 6 · 2014: 8 · 2013: 3
- FWCI
- 4.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Radiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- John and Birthe Meyer Foundation
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiation Dose and Imaging
- Keywords
- PET image reconstruction, point spread function, whole-body PET/CT, FDG-PET, lesion quantification, SUVmax, SUVmean, lesion detection, partial volume effect, attenuation correction, OSEM reconstruction, field of view
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Algorithms, Computer Simulation, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Male, Middle Aged, Models, Biological, Neoplasms, Sensitivity and Specificity, Reproducibility of Results, Radiopharmaceuticals, Fluorodeoxyglucose F18, Imaging, Three-Dimensional, Positron-Emission Tomography, Whole Body Imaging, Young Adult
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