Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
The Impact of Iterative Reconstruction Protocol, Signal-To-Background Ratio and Background Activity on Measurement of Pet Spatial Resolution Publisher Pubmed



Rezaei S1, 2 ; Ghafarian P3, 4 ; Bakhshayeshkaram M3, 4 ; Uribe CF5 ; Rahmim A6, 7 ; Sarkar S2 ; Ay MR1, 2
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Research Center for Molecular and Cellular Imaging (RCMCI), Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, 19569-44413, Iran
  4. 4. PET/CT and Cyclotron Center, Masih Daneshvari Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  5. 5. Department of Functional Imaging, BC Cancer, Vancouver, BC, Canada
  6. 6. Departments of Radiology and Physics, University of British Columbia, Vancouver, Canada
  7. 7. Department of Integrative Oncology, BC Cancer Research Centre, Vancouver, Canada

Source: Japanese Journal of Radiology Published:2020


Abstract

Objectives: The present study aims to assess the impact of acquisition time, different iterative reconstruction protocols as well as image context (including contrast levels and background activities) on the measured spatial resolution in PET images. Methods: Discovery 690 PET/CT scanner was used to quantify spatial resolutions in terms of full width half maximum (FWHM) as derived (i) directly from capillary tubes embedded in air and (ii) indirectly from 10 mm-diameter sphere of the NEMA phantom. Different signal-to-background ratios (SBRs), background activity levels and acquisition times were applied. The emission data were reconstructed using iterative reconstruction protocols. Various combinations of iterations and subsets (it × sub) were evaluated. Results: For capillary tubes, improved FWHM values were obtained for higher it × sub, with improved performance for PSF algorithms relative to non-PSF algorithms. For the NEMA phantom, by increasing acquisition times from 1 to 5 min, intrinsic FWHM for reconstructions with it × sub 32 (54) was improved by 15.3% (13.2%), 15.1% (13.8%), 14.5% (12.8%) and 13.7% (12.7%) for OSEM, OSEM + PSF, OSEM + TOF and OSEM + PSF + TOF, respectively. Furthermore, for all reconstruction protocols, the FWHM improved with more impact for higher it × sub. Conclusion: Our results indicate that PET spatial resolution is greatly affected by SBR, background activity and the choice of the reconstruction protocols. © 2020, Japan Radiological Society.
Related Docs
View other Related Docs
1. Joint Compensation of Motion and Partial Volume Effects by Iterative Deconvolution Incorporating Wavelet-Based Denoising in Oncologic Pet/Ct Imaging, Physica Medica (2019)
2. Impact of Various Image Reconstruction Methods on Joint Compensation of Respiratory Motion and Partial Volume Effects in Whole-Body18f-Fdg Pet/Ct Imaging: Patients With Non-Small Cell Lung Cancer, Iranian South Medical Journal (2022)
3. Impact of Random and Scattered Coincidences From Outside of Field of View on Positron Emission Tomography/Computed Tomography Imaging With Different Reconstruction Protocols, Nuclear Science and Techniques (2023)
4. Role of Lesion-To-Background Activity Ratio and Background Activity in Optimization of Reconstruction Protocols for Fdg Pet/Ct Images of Overweight Patients: A Phantom Study, Iranian Journal of Radiology (2023)
5. Reducing Scan Time Using Time-Of-Flight Protocol in Clinical [18F]Fdg-Pet/Ct Imaging: A Feasibility Study, Iranian Journal of Nuclear Medicine (2023)
6. Impact of Image Reconstruction Methods on Quantitative Accuracy and Variability of Fdg-Pet Volumetric and Textural Measures in Solid Tumors, European Radiology (2019)
7. Quantification and Reduction of Respiratory Induced Artifacts in Positron Emission Tomography/Computed Tomography Using the Time-Of-Flight Technique, Nuclear Medicine Communications (2017)
8. Impact of Time-Of-Flight and Point-Spread-Function for Respiratory Artifact Reduction in Pet/Ct Imaging: Focus on Standardized Uptake Value, Tanaffos (2017)
Experts (# of related papers)
View all Related Experts
Mohammad Reza Ay (17)
Parham Geramifar (7)
Other Related Docs
9. Quantification of the Impact of Tof and Psf on Pet Images Using the Noise-Matching Concept: Clinical and Phantom Study, Nuclear Science and Techniques (2017)
10. Combined Fuzzy Logic and Random Walker Algorithm for Pet Image Tumor Delineation, Nuclear Medicine Communications (2016)
11. Towards Quantitative Small-Animal Imaging on Hybrid Pet/Ct and Pet/Mri Systems, Clinical and Translational Imaging (2020)
12. The Influence of Using Different Reconstruction Algorithms on Sensitivity of Quantitative 18F-Fdg-Pet Volumetric Measures to Background Activity Variation, Iranian Journal of Nuclear Medicine (2018)
13. Utilizing Pix2pix Conditional Generative Adversarial Networks to Recover Missing Data in Preclinical Pet Scanner Sinogram Gaps, Physica Medica (2025)
14. Standardization and Optimization of Siemens Biograph Truepoint Pet/Ct Acquisition and Reconstruction Parameters: Simultaneous Qualitative and Quantitative Assessments, Iranian Journal of Nuclear Medicine (2024)
15. Quantifying Partial Volume Effect in Spect and Planar Imaging: Optimizing Region of Interest for Activity Concentration Estimation in Different Sphere Sizes, Nuclear Medicine Communications (2024)
16. The Impact of Image Reconstruction Settings on 18F-Fdg Pet Radiomic Features: Multi-Scanner Phantom and Patient Studies, European Radiology (2017)
17. Multicenter Quantitative 18F-Fluorodeoxyglucose Positron Emission Tomography Performance Harmonization: Use of Hottest Voxels Towards More Robust Quantification, Quantitative Imaging in Medicine and Surgery (2023)
18. Advances in Preclinical Pet Instrumentation, PET Clinics (2020)
19. Deep Learning-Based Partial Volume Correction in Standard and Low-Dose Positron Emission Tomography-Computed Tomography Imaging, Quantitative Imaging in Medicine and Surgery (2024)
20. Attention-Based Deep Neural Network for Partial Volume Correction in Brain 18F-Fdg Pet Imaging, Physica Medica (2024)
21. Implementation of Absolute Quantification in Small-Animal Spect Imaging: Phantom and Animal Studies, Journal of Applied Clinical Medical Physics (2017)
22. Novel Preclinical Pet Geometrical Concept Using a Monolithic Scintillator Crystal Offering Concurrent Enhancement in Spatial Resolution and Detection Sensitivity: A Simulation Study, Physics in Medicine and Biology (2020)
23. Low-Dose 90Y Pet/Ct Imaging Optimized for Lesion Detectability and Quantitative Accuracy: A Phantom Study to Assess the Feasibility of Pretherapy Imaging to Plan the Therapeutic Dose, Nuclear Medicine Communications (2017)
24. Nema Nu-4 2008 Performance Evaluation of Xtrim-Pet: A Prototype Sipm-Based Preclinical Scanner, Medical Physics (2019)