Comput Math Methods Med - Efficient CT metal artifact reduction based on fractional-order curvature diffusion.

Tópicos

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Resumo

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.

Resumo Limpo

propos novel metal artifact reduct method base fractionalord curvatur driven diffus model xray comput tomographi method treat project data metal region damag imag use fractionalord curvaturedriven diffus model recov lost inform caus metal region numer scheme method also analyz use peak signaltonois ratio refer measur simul result demonstr method achiev better perform exist project interpol method includ linear interpol total variat

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