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首页> 外文会议>Image Processing pt.3; Progress in Biomedical Optics and Imaging; vol.8,no.31; Proceedings of SPIE-The International Society for Optical Engineering; vol.6512 pt.3 >Deblurring of Tomosynthesis Images Using 3D Anisotropic Diffusion Filtering
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Deblurring of Tomosynthesis Images Using 3D Anisotropic Diffusion Filtering

机译：使用3D各向异性扩散滤波对断层合成图像进行去模糊

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摘要

Breast tomosynthesis is an emerging state-of-the-art three-dimensional (3D) imaging technology that demonstrates significant early promise in screening and diagnosing breast cancer. However, this kind of image has significant out-of-plane artifacts due to its limited tomography nature, which affects the image quality and further would interrupt interpretation. In this paper, we develop a robust deblurring method to remove or suppress blurry artifacts by applying three-dimensional (3D) nonlinear anisotropic diffusion filtering method. Differential equation of 3D anisotropic diffusion filtering is discretized using explicit and implicit numerical methods, respectively, combined by first (fixed grey value) and second (adiabatic) boundary conditions under ten nearest neighbor grids configuration of finite difference scheme. The discretized diffusion equation is applied in the breast volume reconstructed from the entire tomosynthetic images of breast. The proposed diffusion filtering method is evaluated qualitatively and quantitatively on clinical tomosynthesis images. Results indicate that the proposed diffusion filtering method is very powerful in suppressing the blurry artifacts, and the results also indicate that implicit numerical algorithm with fixed value boundary condition has better performance in enhancing the contrast of tomosynthesis image, demonstrating the effectiveness of the proposed filtering method in deblurring the out-of-plane artifacts.
机译：乳房断层合成是一种新兴的最新三维（3D）成像技术，在筛查和诊断乳腺癌方面显示出重要的早期前景。然而，由于这种图像的有限的层析成像性质，它具有明显的平面外伪影，这会影响图像质量并进一步中断解释。在本文中，我们通过应用三维（3D）非线性各向异性扩散滤波方法，开发了一种强大的去模糊方法，以消除或抑制模糊的伪影。在有限差分方案的十个最近邻网格配置下，分别通过显式和隐式数值方法分别离散化3D各向异性扩散滤波的微分方程，并结合第一（固定灰度值）和第二（绝热）边界条件。离散扩散方程应用于从乳房的整个断层合成图像重建的乳房体积中。在临床断层合成图像上定性和定量地评估了所提出的扩散过滤方法。结果表明，所提出的扩散滤波方法在抑制模糊伪像方面非常有效，并且结果还表明具有固定值边界条件的隐式数值算法在增强断层合成图像的对比度方面具有更好的性能，证明了所提出的滤波方法的有效性在消除平面外伪影的模糊中。

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