Impact of reconstruction algorithms at different sphere-to-background ratios on PET quantification: A phantom study

Using National Electrical Manufacturers Association (NEMA) phantom, the behavior of four distinct Positron Emission Tomography/Computed Tomography (PET/CT) reconstruction algorithms was investigated. These reconstruction algorithms were (Ordered Subset Expectation Maximization (OSEM), OSEM+ (Point S...

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Vydané v:Applied radiation and isotopes Ročník 220; s. 111761
Hlavní autori: A. Mohymen, Ahmed, Farag, Hamed I., Reda, Sameh M., Monem, Ahmed S., Ali, Said A.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England Elsevier Ltd 01.06.2025
Predmet:
Algorithms
Gibbs artifact
Humans
Image Processing, Computer-Assisted - methods
Ordered subset expectation maximization
Partial volume effects
Phantoms, Imaging
Point spread function
Positron Emission Tomography Computed Tomography - methods
Positron Emission Tomography Computed Tomography - statistics & numerical data
Positron-Emission Tomography
Standardized uptake value
Time of flight
Ordered subset expectation maximization
Time of flight
Gibbs artifact
Standardized uptake value
Point spread function
Partial volume effects
ISSN:0969-8043, 1872-9800, 1872-9800
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Popis
Shrnutí:Using National Electrical Manufacturers Association (NEMA) phantom, the behavior of four distinct Positron Emission Tomography/Computed Tomography (PET/CT) reconstruction algorithms was investigated. These reconstruction algorithms were (Ordered Subset Expectation Maximization (OSEM), OSEM+ (Point Spread Function) PSF, OSEM + Time of Flight (TOF), and OSEM + TOF + PSF), and the focus was on sphere sizes and SBRs using recovery coefficients as a quantitation method. The obtained results demonstrated the significant effect of TOF on Gibbs artifact and Partial Volume Effect (PVE) at various Sphere-to-Background Ratios (SBRs). TOF-based algorithms improved quantification accuracy and mitigated the influence of Gibbs artifact, particularly at higher SBRs. Compared to PSF algorithm, TOF- based algorithms effectively mitigated the impact of PVE on small-sized spheres and less dependent on SBRs. In terms of Standardized Uptake Value (SUV) quantification, SUVmean was better when utilizing TOF-based algorithms at lower SBRs, whereas SUVmax at higher SBRs. The combination of TOF and PSF produced a promising outcomes in quantifying and detecting a small-sized spheres across various SBRs, ultimately resulting in a more reliable and precise diagnostic information. •TOF-based algorithms significantly improved accuracy and reduced Gibbs artifact and PVE.•TOF improved SUVs quantification and detectability of different sized spheres at different SBRs, surpassing PSF alone.•TOF-based algorithms were less affected by Signal-to-Background Ratios.•SUVmean performed well at lower SBRs, while SUVmax excelled at higher SBRs.•TOF + PSF algorithm was particularly effective for detecting and quantifying small-sized spheres across different SBRs.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0969-8043
1872-9800
1872-9800
DOI:10.1016/j.apradiso.2025.111761