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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Sinogram Restoration for Low-Dosed X-Ray Computed Tomography Using Fractional-Order Perona-Malik Diffusion
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Sinogram Restoration for Low-Dosed X-Ray Computed Tomography Using Fractional-Order Perona-Malik Diffusion

机译:使用分数阶Perona-Malik扩散进行低剂量X射线计算机断层扫描的正弦图恢复

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Existing integer-order Nonlinear Anisotropic Diffusion (NAD) used in noise suppressing will produce undesirable staircase effect or speckle effect. In this paper, we propose a new scheme, named Fractal-order Perona-Malik Diffusion (FPMD), which replaces the integer-order derivative of the Perona-Malik (PM) Diffusion with the fractional-order derivative using G-L fractional derivative. FPMD, which is a interpolation between integer-order Nonlinear Anisotropic Diffusion (NAD) and fourth-order partial differential equations, provides a more flexible way to balance the noise reducing and anatomical details preserving. Smoothing results for phantoms and real sinograms show that FPMD with suitable parameters can suppress the staircase effects and speckle effects efficiently. In addition, FPMD also has a good performance in visual quality and root mean square errors (RMSE).
机译:用于噪声抑制的现有整数阶非线性各向异性扩散(NAD)将产生不良的阶梯效应或斑点效应。在本文中,我们提出了一种新的方案,称为分形阶Perona-Malik扩散(FPMD),该方案使用G-L分数阶导数用分数阶导数代替Perona-Malik(PM)扩散的整数阶导数。 FPMD是整数阶非线性各向异性扩散(NAD)与四阶偏微分方程之间的插值,它提供了一种更灵活的方法来平衡降噪和保留解剖细节。幻像和真实正弦图的平滑结果表明,具有适当参数的FPMD可以有效地抑制阶梯效应和斑点效应。此外,FPMD在视觉质量和均方根误差(RMSE)方面也具有良好的性能。

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