Efficient CT metal artifact reduction based on fractional-order curvature diffusion
type: Item
instance of: scholarly article
title: Efficient CT metal artifact reduction based on fractional-order curvature diffusion
zbMATH Open document ID: 1227.92038
DOI: 10.1155/2011/173748
author: Juan-Miguel Gracia
published in: Computational \& Mathematical Methods in Medicine
publication date: 2011-10-26T00:00:00Z
review text: Summary: 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 information caused by the metal region. The numerical scheme for our method is also analyzed. We use the peak signal-to-noise ratio as a reference measure. The simulation results demonstrate that our method achieves better performance than existing projection interpolation methods, including linear interpolation and total variation.
Mathematics Subject Classification ID: 92C55
Mathematics Subject Classification ID: 65C20
zbMATH DE Number: 5964125
Wikidata QID: Q35195260
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2011/173748
OpenAlex ID: W2012699229
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description: scientific article; zbMATH DE number 5964125