Comparison of Image Quality and Quantification Parameters between Q.Clear and OSEM Reconstruction Methods on FDG-PET/CT Images in Patients with Metastatic Breast Cancer

We compared the image quality and quantification parameters through bayesian penalized likelihood reconstruction algorithm (Q.Clear) and ordered subset expectation maximization (OSEM) algorithm for 2-[18F]FDG-PET/CT scans performed for response monitoring in patients with metastatic breast cancer in...

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Veröffentlicht in:	Journal of imaging Jg. 9; H. 3; S. 65
Hauptverfasser:	Naghavi-Behzad, Mohammad, Vogsen, Marianne, Gerke, Oke, Dahlsgaard-Wallenius, Sara Elisabeth, Nissen, Henriette Juel, Jakobsen, Nick Møldrup, Braad, Poul-Erik, Vilstrup, Mie Holm, Deak, Paul, Hildebrandt, Malene Grubbe, Andersen, Thomas Lund
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 01.03.2023 MDPI
Schlagworte:	Algorithms Analysis Biopsy Breast cancer Care and treatment Communication Computed tomography Development and progression Diagnosis Diagnostic systems Disease FDG-PET/CT Fluorine isotopes Health aspects Image contrast Image quality Image reconstruction Medical imaging Metastasis metastatic breast cancer Nuclear medicine Parameters PET imaging Physicians Positron emission Q.Clear Quality standards reconstruction algorithm Scanners Sharpness Tomography Denmark United States > US FDG-PET/CT reconstruction algorithm Q.Clear metastatic breast cancer
ISSN:	2313-433X, 2313-433X
Online-Zugang:	Volltext
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