Cargando…
Reconstructed spatial resolution and contrast recovery with Bayesian penalized likelihood reconstruction (Q.Clear) for FDG-PET compared to time-of-flight (TOF) with point spread function (PSF)
BACKGROUND: Bayesian penalized likelihood reconstruction for PET (e.g., GE Q.Clear) aims at improving convergence of lesion activity while ensuring sufficient signal-to-noise ratio (SNR). This study evaluated reconstructed spatial resolution, maximum/peak contrast recovery (CRmax/CRpeak) and SNR of...
Autores principales: | Rogasch, Julian M., Suleiman, Said, Hofheinz, Frank, Bluemel, Stephanie, Lukas, Mathias, Amthauer, Holger, Furth, Christian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954158/ https://www.ncbi.nlm.nih.gov/pubmed/31925574 http://dx.doi.org/10.1186/s40658-020-0270-y |
Ejemplares similares
-
Impact of the Bayesian penalized likelihood algorithm (Q.Clear®) in comparison with the OSEM reconstruction on low contrast PET hypoxic images
por: Texte, Edgar, et al.
Publicado: (2020) -
Impact of γ factor in the penalty function of Bayesian penalized likelihood reconstruction (Q.Clear) to achieve high-resolution PET images
por: Miwa, Kenta, et al.
Publicado: (2023) -
Impact of the Noise Penalty Factor on Quantification in Bayesian Penalized Likelihood (Q.Clear) Reconstructions of (68)Ga-PSMA PET/CT Scans
por: Rijnsdorp, Sjoerd, et al.
Publicado: (2021) -
Asphericity of tumor FDG uptake in non-small cell lung cancer: reproducibility and implications for harmonization in multicenter studies
por: Rogasch, Julian M. M., et al.
Publicado: (2020) -
The influence of different signal-to-background ratios on spatial resolution and F18-FDG-PET quantification using point spread function and time-of-flight reconstruction
por: Rogasch, Julian MM, et al.
Publicado: (2014)