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首页> 外文期刊>Computers in Biology and Medicine >Removal of ring artifacts in computed tomographic imaging using iterative center weighted median filter.
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Removal of ring artifacts in computed tomographic imaging using iterative center weighted median filter.

机译:使用迭代中心加权中值滤波器在计算机断层摄影中去除环形伪影。

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摘要

A new iterative center weighted median filter (ICWMF) for ring artifact reduction from the micro-computed tomographic (micro-CT) image is proposed in this paper. The center weight of the median filter is computed based on the characteristic of the ring artifact in the mean curve of the projection data. The filter operates on the deviation of the mean curve to smooth the ring generating peaks and troughs iteratively while preserving the details due to image. A convergence criterion for the iterative algorithm is determined from the distribution of the local deviation computed from the mean curve deviation. The estimate of the mean curve obtained using the ICWMF is used to correct the ring corrupted projection data from which reconstruction gives the ring artifact suppressed micro-CT image. Test results on both the synthetic and real images demonstrate that the ring artifacts can be more effectively suppressed using our method as compared to other ring removal techniques reported in the literature.
机译:本文提出了一种新的迭代中心加权中值滤波器(ICWMF),用于从显微计算机断层扫描(micro-CT)图像中减少环伪影。基于投影数据的平均曲线中的环状伪影的特征来计算中值滤波器的中心权重。滤波器对平均曲线的偏差进行操作,以平滑平滑环生成的峰和谷,同时保留由于图像引起的细节。根据根据平均曲线偏差计算出的局部偏差的分布,确定迭代算法的收敛准则。使用ICWMF获得的平均曲线的估计值用于校正环损坏的投影数据,从该重建数据中可以得到环伪影抑制的微型CT图像。在合成图像和真实图像上的测试结果表明,与文献中报道的其他环去除技术相比,使用我们的方法可以更有效地抑制环伪影。

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