Cargando…
Assessing computed tomography image quality for combined detection and estimation tasks
Maintaining or even improving image quality while lowering patient dose is always the desire in clinical computed tomography (CT) imaging. Iterative reconstruction (IR) algorithms have been designed to allow for a reduced dose while maintaining or even improving an image. However, we have previously...
Autores principales: | Tseng, Hsin-Wu, Fan, Jiahua, Kupinski, Matthew A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5696572/ https://www.ncbi.nlm.nih.gov/pubmed/29201940 http://dx.doi.org/10.1117/1.JMI.4.4.045503 |
Ejemplares similares
-
Determining Roe and Metz model parameters for simulating multireader multicase confidence-of-disease rating data based on real-data or conjectured Obuchowski–Rockette parameter estimates
por: Hillis, Stephen L., et al.
Publicado: (2022) -
Impact of deep learning-based image super-resolution on binary signal detection
por: Zhang, Xiaohui, et al.
Publicado: (2021) -
Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks
por: Zhou, Weimin, et al.
Publicado: (2022) -
Multireader sample size program for diagnostic studies: demonstration and methodology
por: Hillis, Stephen L., et al.
Publicado: (2018) -
Eye tracking in catheter-based cardiovascular interventions: early results
por: Lanzer, Peter, et al.
Publicado: (2017)