Cargando…
Deep learning image reconstruction algorithms in low-dose radiation abdominal computed tomography: assessment of image quality and lesion diagnostic confidence
BACKGROUND: The image quality of computed tomography (CT) can be adversely affected by a low radiation dose, and reconstruction algorithms of an appropriate level may be useful in reducing this impact. METHODS: Eight sets of CT images of a phantom were reconstructed with filtered back projection (FB...
Autores principales: | Yang, Chun, Wang, Wenzhe, Cui, Dingye, Zhang, Jinliang, Liu, Ling, Wang, Yuxin, Li, Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167467/ https://www.ncbi.nlm.nih.gov/pubmed/37179954 http://dx.doi.org/10.21037/qims-22-1227 |
Ejemplares similares
-
Impact of Iterative Reconstruction Algorithms on Image Quality and Radiation Dose in Computed Tomography Scan of Patients with Malignant Pancreatic Lesions
por: Asemanrafat, Mohamadhosein, et al.
Publicado: (2021) -
A Deep Learning Image Reconstruction Algorithm for Improving Image Quality and Hepatic Lesion Detectability in Abdominal Dual-Energy Computed Tomography: Preliminary Results
por: Chu, Bingqian, et al.
Publicado: (2023) -
Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography
por: Benz, Dominik C., et al.
Publicado: (2021) -
Impact of deep learning-based image reconstruction on image quality and lesion visibility in renal computed tomography at different doses
por: Bie, Yifan, et al.
Publicado: (2023) -
Radiation Dose Reduction in Digital Mammography by Deep-Learning Algorithm Image Reconstruction: A Preliminary Study
Publicado: (2022)