Cargando…
Ultra-low-dose CT reconstructed with the artificial intelligence iterative reconstruction algorithm (AIIR) in (18)F-FDG total-body PET/CT examination: a preliminary study
PURPOSE: To investigate the feasibility of ultra-low-dose CT (ULDCT) reconstructed with the artificial intelligence iterative reconstruction (AIIR) algorithm in total-body PET/CT imaging. METHODS: The study included both the phantom and clinical parts. An anthropomorphic phantom underwent CT imaging...
Autores principales: | Hu, Yan, Zheng, Zhe, Yu, Haojun, Wang, Jingyi, Yang, Xinlan, Shi, Hongcheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807709/ https://www.ncbi.nlm.nih.gov/pubmed/36592256 http://dx.doi.org/10.1186/s40658-022-00521-8 |
Ejemplares similares
-
Ultra Low Dose CT Pulmonary Angiography with Iterative Reconstruction
por: Sauter, Andreas, et al.
Publicado: (2016) -
Exploration of the total-body PET/CT reconstruction protocol with ultra-low (18)F-FDG activity over a wide range of patient body mass indices
por: Sui, Xiuli, et al.
Publicado: (2022) -
Feasibility of Acquisitions Using Total-Body PET/CT with an Ultra-Low (18)F-FDG Activity
por: Hu, Yan, et al.
Publicado: (2022) -
A Preliminary Study to Use SUVmax of FDG PET-CT as an Identifier of Lesion for Artificial Intelligence
por: Hirata, Kenji, et al.
Publicado: (2021) -
Quality evaluation of image‐based iterative reconstruction for CT: Comparison with hybrid iterative reconstruction
por: Kawashima, Hiroki, et al.
Publicado: (2019)