Abstract

Hybrid PET/CT imaging with the use of 18F FDG is a widely used imaging technique with major indications in oncology for staging, re-staging and monitoring response to therapy. There is a major issue of partial volume effect in PET images which affects image quality as well as quantitative accuracy in small lesions. Multiple attempts have been made to resolve these issues. The aim of our study was to look into impact of Point‐spread-function (PSF) on reconstructed attenuation corrected (AC) images of PET/CT and to find out best combination of the number of PSF iterations with regularization level while applying PSF.

Highlights

  • Positron emission tomography (PET) is a tomographic technique that computes the three-dimensional distribution of radioactivity based on the annihilation photons that are134 Volume 01 Issue 08 November 2021 emitted by positron emitter labelled radiotracers

  • We evaluated the effect of point-spread function (PSF) on image quality and determined the parameter for reconstruction by phantom study which was followed by patient study

  • Our study reveals that small lesions detection on a time of flight (TOF) PET/CT system can be improved by using PSF based reconstructions

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Summary

Introduction

Positron emission tomography (PET) is a tomographic technique that computes the three-dimensional distribution of radioactivity based on the annihilation photons that are134 Volume 01 Issue 08 November 2021 emitted by positron emitter labelled radiotracers. PSF reconstruction produces images with improved spatial resolution, reduced partial volume effect and increased activity concentration (Bq/mL) or standardized uptake value (SUV) in small lesions. There is a growing interest for using PET in the prediction and evaluation of early responses to treatment, such as chemotherapy, radiotherapy and local ablative therapy, e.g., of liver metastases, in order to identify non-responders as soon as possible to optimize their treatment strategy These benefits have been demonstrated as higher recovery coefficients (RCs) in NEMA IEC phantom studies and improved lesion detection in patient studies (4). We evaluated its effect on several parameters: SUVmax& SUVmean, SNRmax & SNRmean and image quality for 18F-FDG PET/CT scan in cancer patients

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