Cargando…
Regularized Multidirections and Multiscales Anisotropic Diffusion for Sinogram Restoration of Low-Dosed Computed Tomography
Although most of existing anisotropic diffusion (AD) methods are supported by prefect mathematical theories, they still lead to smoothed edges and anatomy details (EADs). They are caused by not considering the discrete nature of digital signal. In order to improve the performance of AD in sinogram r...
Autor principal: | Liao, Zhiwu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3856143/ https://www.ncbi.nlm.nih.gov/pubmed/24348734 http://dx.doi.org/10.1155/2013/190571 |
Ejemplares similares
-
A sinogram denoising algorithm for low-dose computed tomography
por: Karimi, Davood, et al.
Publicado: (2016) -
Comparison of Quadratic- and Median-Based Roughness Penalties for Penalized-Likelihood Sinogram Restoration in Computed Tomography
por: La Rivière, Patrick J., et al.
Publicado: (2006) -
Fiber Visualization with LIC Maps Using Multidirectional Anisotropic Glyph Samples
por: Höller, Mark, et al.
Publicado: (2014) -
Hybrid regularizers-based adaptive anisotropic diffusion for image denoising
por: Liu, Kui, et al.
Publicado: (2016) -
Gaussian diffusion sinogram inpainting for X-ray CT metal artifact reduction
por: Peng, Chengtao, et al.
Publicado: (2017)