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-[(18)F]FDG-PET/CT scans performed for response monitoring in patients with metastatic breast cancer...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10058454/
https://www.ncbi.nlm.nih.gov/pubmed/36976116
http://dx.doi.org/10.3390/jimaging9030065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10058454/
https://www.ncbi.nlm.nih.gov/pubmed/36976116
http://dx.doi.org/10.3390/jimaging9030065

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