Literature DB >> 33693016

Assessment of Image Quality and Lesion Detectability With Digital PET/CT System.

Olivier Delcroix1, David Bourhis1,2,3, Nathalie Keromnes1, Philippe Robin1,2,3, Pierre-Yves Le Roux1,2,3, Ronan Abgral1,2,3, Pierre-Yves Salaun1,2,3, Solène Querellou1,2,3.   

Abstract

Purpose: The aim of this study was to assess image quality and lesion detectability acquired with a digital Positron Emission Tomography/Computed Tomography (PET/CT) Siemens Biograph Vision 600 system. Material and
Methods: Consecutive patients who underwent a FDG PET/CT during the first week of use of a digital PET/CT (Siemens Biograph Vision 600) at the nuclear medicine department of the university hospital of Brest were analyzed. PET were realized using list mode acquisition. For all patients, 4 datasets were reconstructed. We determined, according to phantom measurements, an equivalent time acquisition/reconstruction parameters pair of the digital PET/CT corresponding to an analog PET/CT image quality ("analog-like") as reference dataset. We compared the reference dataset with 3 others digital PET/CT reconstruction parameters, allowing a decrease of emission duration: 60, 90, and 120 s per bed position. Three nuclear medicine physicians evaluated independently, for each dataset, overall image quality [Maximal Intensity Projection (MIP), noise, sharpness] using a 4-point scale. Physicians assessed also lesion detection capability by reporting new visible lesions on each digital datasets with their confidence level in comparison with analog-like dataset.
Results: Ninety-eight patients were analyzed. Image quality of MIP (IQMIP), sharpness (IQSHARPNESS), and noise (IQNOISE) of all digital datasets (60, 90, and 120 s) were better than those evaluated with analog-like reconstruction. Moreover, digital PET/CT system improved IQMIP, IQNOISE, and IQSHARPNESS whatever the BMI. Lesion detection capability and confidence level were higher for 60, 90, 120 s per bed position, respectively, than for analog-like images.
Conclusion: Our study demonstrated an improvement of image quality and lesion detectability with a digital PET/CT system.
Copyright © 2021 Delcroix, Bourhis, Keromnes, Robin, Le Roux, Abgral, Salaun and Querellou.

Entities:  

Keywords:  PET/CT; SiPM; analog detectors; clinical evaluation; image quality

Year:  2021        PMID: 33693016      PMCID: PMC7937710          DOI: 10.3389/fmed.2021.629096

Source DB:  PubMed          Journal:  Front Med (Lausanne)        ISSN: 2296-858X


  1 in total

1.  Dynamic PET Imaging Using Dual Texture Features.

Authors:  Zhanglei Ouyang; Shujun Zhao; Zhaoping Cheng; Yanhua Duan; Zixiang Chen; Na Zhang; Dong Liang; Zhanli Hu
Journal:  Front Comput Neurosci       Date:  2022-01-07       Impact factor: 2.380

  1 in total

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