Impact of Point-Spread Function Modeling on Image Quality in <sup>68</sup> Ga-PSMA PET/CT

The objective of this study was to evaluate the impact of 2 PET reconstruction methods—time of flight (TOF) and TOF with point-spread function (PSF) modeling (TOF + PSF)—on image quality and measured quantitative metrics in <sup>68</sup>Ga-PSMA PET/CT for prostate cancer. <b>Methods:</b> This retrospective analysis included 36 patients with prostate cancer who underwent <sup>68</sup>Ga-PSMA PET/CT at the Sultan Qaboos Comprehensive Cancer Care and Research Center between October 2022 and February 2024. PET data were reconstructed using TOF and TOF + PSF on a Biograph Vision 600 system. The quantitative parameters compared were SUV<sub>mean</sub>, prostate-specific membrane antigen tumor volume (PSMA-TV), total lesion uptake (TLU), signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and lesion-to-background ratio (LBR; lesion SUV<sub>mean</sub>/background SUV<sub>mean</sub>). Paired <i>t</i> tests or Wilcoxon signed-rank tests were used as appropriate, and agreement between reconstructions was assessed using Bland–Altman analysis. <b>Results:</b> Compared with TOF, TOF + PSF yielded a significantly higher SUV<sub>mean</sub> (mean difference, 1.41; 95% CI, 1.08–1.75; <i>P</i> &lt; 0.001), SNR (mean difference, 23.31; 95% CI, 18.34–28.28; <i>P</i> &lt; 0.001), CNR (mean difference, 23.54; 95% CI, 18.62–28.47; <i>P</i> &lt; 0.001), LBR (mean difference, 8.0; 95% CI, 5.85–10.16; <i>P</i> &lt; 0.0001), and TLU (mean difference, 3.62; 95% CI, 2.40–4.84; <i>P</i> &lt; 0.001). PSMA-TV showed no significant difference between reconstructions (mean difference, 0.0052; 95% CI, −0.0154 to 0.0257; <i>P</i> = 0.626). Bland–Altman analysis demonstrated a systematic positive bias for TOF + PSF in SUV<sub>mean</sub>, SNR, CNR, LBR, and TLU. Because PSF modeling can increase SUV-based measurements via resolution recovery and edge effects, these increases should be interpreted as reconstruction-dependent changes in relative contrast rather than confirmed improvements in absolute quantitative accuracy without ground-truth validation. <b>Conclusion:</b> TOF + PSF reconstruction improves image quality and increases SUV-based and contrast-related metrics in <sup>68</sup>Ga-PSMA PET/CT and thus may enhance the conspicuity of small or low-contrast lesions. Phantom-based validation is recommended to determine the extent to which these reconstruction-dependent differences translate into improved absolute quantitative accuracy.

Authors

Institutions

Publication Details

Journal
Journal of Nuclear Medicine Technology
Published
2026-06-09
DOI
https://doi.org/10.2967/jnmt.125.271591
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Point-Spread Function Modeling on Image Quality in 68 Ga-PSMA PET/CT

Huda Al-Saidi, Naema Al-Maymani, Khulood Al-Riyami, Amna Al-Jabri et al.
Journal of Nuclear Medicine Technology
Medical Imaging Techniques and Applications
article

Impact of Point-Spread Function Modeling on Image Quality in 68 Ga-PSMA PET/CT

Huda Al-Saidi, Naema Al-Maymani, Khulood Al-Riyami, Amna Al-Jabri, Subhash Chand Kheruka, Noura Al-Makhmari, Muhammad Sharjeel Usmani, Anas Al-Balushi, Sana Al-Rashdi, Rashid Al-Sukaiti, Anjali Jain, Alyamama Al-Subhi, Sura Al-Rawahi
article en

Abstract

The objective of this study was to evaluate the impact of 2 PET reconstruction methods—time of flight (TOF) and TOF with point-spread function (PSF) modeling (TOF + PSF)—on image quality and measured quantitative metrics in <sup>68</sup>Ga-PSMA PET/CT for prostate cancer. <b>Methods:</b> This retrospective analysis included 36 patients with prostate cancer who underwent <sup>68</sup>Ga-PSMA PET/CT at the Sultan Qaboos Comprehensive Cancer Care and Research Center between October 2022 and February 2024. PET data were reconstructed using TOF and TOF + PSF on a Biograph Vision 600 system. The quantitative parameters compared were SUV<sub>mean</sub>, prostate-specific membrane antigen tumor volume (PSMA-TV), total lesion uptake (TLU), signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and lesion-to-background ratio (LBR; lesion SUV<sub>mean</sub>/background SUV<sub>mean</sub>). Paired <i>t</i> tests or Wilcoxon signed-rank tests were used as appropriate, and agreement between reconstructions was assessed using Bland–Altman analysis. <b>Results:</b> Compared with TOF, TOF + PSF yielded a significantly higher SUV<sub>mean</sub> (mean difference, 1.41; 95% CI, 1.08–1.75; <i>P</i> &lt; 0.001), SNR (mean difference, 23.31; 95% CI, 18.34–28.28; <i>P</i> &lt; 0.001), CNR (mean difference, 23.54; 95% CI, 18.62–28.47; <i>P</i> &lt; 0.001), LBR (mean difference, 8.0; 95% CI, 5.85–10.16; <i>P</i> &lt; 0.0001), and TLU (mean difference, 3.62; 95% CI, 2.40–4.84; <i>P</i> &lt; 0.001). PSMA-TV showed no significant difference between reconstructions (mean difference, 0.0052; 95% CI, −0.0154 to 0.0257; <i>P</i> = 0.626). Bland–Altman analysis demonstrated a systematic positive bias for TOF + PSF in SUV<sub>mean</sub>, SNR, CNR, LBR, and TLU. Because PSF modeling can increase SUV-based measurements via resolution recovery and edge effects, these increases should be interpreted as reconstruction-dependent changes in relative contrast rather than confirmed improvements in absolute quantitative accuracy without ground-truth validation. <b>Conclusion:</b> TOF + PSF reconstruction improves image quality and increases SUV-based and contrast-related metrics in <sup>68</sup>Ga-PSMA PET/CT and thus may enhance the conspicuity of small or low-contrast lesions. Phantom-based validation is recommended to determine the extent to which these reconstruction-dependent differences translate into improved absolute quantitative accuracy.

Journal of Nuclear Medicine Technology
Sultan Qaboos University Hospital (OM), Sultan Qaboos University (OM)
Openalex Percentile: Top 6%
Medical Imaging Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.