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A discrete tomography approach for superresolution micro-CT images: application to bone

机译:用于超分辨率微CT图像的离散层析成像方法:在骨骼中的应用

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In micro-CT imaging, the effective spatial resolution of the reconstructed images is generally limited by X-ray dose restrictions, the detector configuration or the scanning geometry. In this paper, we show that, using prior information on the grey values of the scanned objects, the spatial resolution of the reconstructed images can dramatically be improved. The proposed method is based on an upsampling of the reconstruction grid, combined with the DART algorithm (discrete algebraic reconstruction technique [1]), in which the scanned object is assumed to be composed of homogeneous materials. Experiments were run on simulated data as well as real X-ray CT data of the rat trabecular bone. Results show that the proposed method generates reconstructions with significantly more detail compared to conventional reconstruction algorithms.
机译:在微型CT成像中,重建图像的有效空间分辨率通常受到X射线剂量限制,检测器配置或扫描几何形状的限制。在本文中,我们表明,使用有关扫描对象灰度值的先验信息,可以显着提高重建图像的空间分辨率。所提出的方法基于重建网格的上采样,并结合DART算法(离散代数重建技术[1]),其中假定被扫描对象由均质材料组成。实验是根据大鼠小梁骨的模拟数据以及实际X射线CT数据进行的。结果表明,与传统的重建算法相比,所提出的方法生成的重建过程具有更多的细节。

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