Efficient CT Metal Artifact Reduction Based on Fractional-Order Curvature Diffusion

We propose a novel metal artifact reduction method based on a fractional-order curvature driven diffusion model for X-ray computed tomography. Our method treats projection data with metal regions as a damaged image and uses the fractional-order curvature-driven diffusion model to recover the lost in...

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Detalles Bibliográficos
Autores principales: Zhang, Yi, Pu, Yi-Fei, Hu, Jin-Rong, Liu, Yan, Chen, Qing-Li, Zhou, Ji-Liu
Formato: Artigo
Lenguaje:Inglês
Publicado: Hindawi Publishing Corporation 2011
Materias:
Research Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC3166612/
https://ncbi.nlm.nih.gov/pubmed/21941593
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2011/173748
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https://ncbi.nlm.nih.gov/pmc/articles/PMC3166612/
https://ncbi.nlm.nih.gov/pubmed/21941593
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2011/173748

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