Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
The Influence of Using Different Reconstruction Algorithms on Sensitivity of Quantitative 18F-Fdg-Pet Volumetric Measures to Background Activity Variation



Ketabi A1, 6 ; Ghafarian P2, 3 ; Moslehshirazi MA4 ; Mahdavi SR5 ; Ay MR1, 6
Authors
Show Affiliations
Authors Affiliations
  1. 1. Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  3. 3. PET/CT and Cyclotron Center, Masih Daneshvari Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  4. 4. Medical Imaging Research Center and Physics Unit, Department of Radiotherapy and Oncology, Namazi Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
  5. 5. Department of Medical Physics, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
  6. 6. Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran

Source: Iranian Journal of Nuclear Medicine Published:2018

Abstract

Introduction: This study aims to investigate the influence of background activity variation on image quantification in differently reconstructed PET/CT images. Methods: Measurements were performed on a Discovery-690 PET/CT scanner using a custom-built NEMA-like phantom. A background activity level of 5.3 and 2.6 kBq/ml 18F-FDG were applied. Images were reconstructed employing four different reconstruction algorithms: HD (OSEM with no PSF or TOF), PSF only, TOF only, and TOFPSF, with Gaussian filters of 3 and 6.4 mm in FWHM. SUVmax and SUVpeak were obtained and used as cut-off thresholding; Metabolic Tumor Volume (MTV) and Total Lesion Glycolysis (TLG) were measured. The volume recovery coefficients (VRCs), the relative percent error (ΔMTV), and Dice similarity coefficient were assessed with respect to true values. Results: SUVmax and SUVpeak decreased and MTV increased as function of increasing the background dose. The most differences occur in smaller volumes with 3-mm filter; Non-TOF and Non-PSF reconstruction methods were more sensitive to increasing the background activity in the smaller and larger volumes, respectively. The TLG values were affected in the small lesions (decrease up to 12%). In a range of target volumes, differences between the mean ΔMTV in the high and low background dose varied from -11.8% to 7.2% using SUVmax and from 2.1% to 7.6% using SUVpeak inter reconstruction methods. Conclusion: The effect of the background activity variation on SUV-based quantification in small lesion was more noticeable than large lesion. The HD and TOFPSF algorithms had the lowest and the highest sensitivity to background activity, respectively. © 2018 Iranian Journal of Nuclear Medicine. All Rights Reserved.
Related Docs
View other Related Docs
1. Impact of Time-Of-Flight and Point-Spread-Function for Respiratory Artifact Reduction in Pet/Ct Imaging: Focus on Standardized Uptake Value, Tanaffos (2017)
2. Reducing Scan Time Using Time-Of-Flight Protocol in Clinical [18F]Fdg-Pet/Ct Imaging: A Feasibility Study, Iranian Journal of Nuclear Medicine (2023)
3. Impact of Image Reconstruction Methods on Quantitative Accuracy and Variability of Fdg-Pet Volumetric and Textural Measures in Solid Tumors, European Radiology (2019)
4. 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)
5. Quantification and Reduction of Respiratory Induced Artifacts in Positron Emission Tomography/Computed Tomography Using the Time-Of-Flight Technique, Nuclear Medicine Communications (2017)
6. Combined Fuzzy Logic and Random Walker Algorithm for Pet Image Tumor Delineation, Nuclear Medicine Communications (2016)
7. Standardization and Optimization of Siemens Biograph Truepoint Pet/Ct Acquisition and Reconstruction Parameters: Simultaneous Qualitative and Quantitative Assessments, Iranian Journal of Nuclear Medicine (2024)
8. Multicenter Quantitative 18F-Fluorodeoxyglucose Positron Emission Tomography Performance Harmonization: Use of Hottest Voxels Towards More Robust Quantification, Quantitative Imaging in Medicine and Surgery (2023)
Experts (# of related papers)
View all Related Experts
Mohammad Reza Ay (8)
Parham Geramifar (5)
Other Related Docs
9. Fully Automated Gross Tumor Volume Delineation From Pet in Head and Neck Cancer Using Deep Learning Algorithms, Clinical Nuclear Medicine (2021)
10. The Impact of Iterative Reconstruction Protocol, Signal-To-Background Ratio and Background Activity on Measurement of Pet Spatial Resolution, Japanese Journal of Radiology (2020)
11. Automatic Detection and Segmentation of Lesions in 18F-Fdg Pet/Ct Imaging of Patients With Hodgkin Lymphoma Using 3D Dense U-Net, Nuclear Medicine Communications (2024)
12. 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)
13. Joint Compensation of Motion and Partial Volume Effects by Iterative Deconvolution Incorporating Wavelet-Based Denoising in Oncologic Pet/Ct Imaging, Physica Medica (2019)
14. Breathing-Induced Errors in Quantification and Description of Dominant Intra-Prostatic Lesions (Dils) in Pet Images: A Simulation Study by Means of the 4D Ncat Phantom, Journal of Biomedical Physics and Engineering (2022)