Improving image quality of x-ray in-line phase contrast imaging using an image restoration method.
Improving image quality of x-ray in-line phase contrast imaging using an image restoration method.
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DOI：
10.1364/oe.19.023460
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发表时间：
2011-11
期刊：
影响因子：
3.8
通讯作者：
Xue-jun Guo;Xiaolin Liu;Chen Ni;Bo Liu;Shi-ming Huang;M. Gu
中科院分区：
文献类型：
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作者：
Xue-jun Guo;Xiaolin Liu;Chen Ni;Bo Liu;Shi-ming Huang;M. Gu
对于X射线同轴相位衬度成像的实际应用，高质量的图像对于对象感知和定量成像是必不可少的。现有的提高图像质量的方法受到高成本和采集硬件的物理限制的限制。提出了一种基于快速小波变换的图像复原算法。该算法利用退化模型，将调制变换函数（MTF）补偿算法从傅立叶域扩展到小波域。通过与传统MTF补偿算法的比较，对改进算法进行了评价。用图像质量的评价参数来表征其去模糊性能。实验结果表明，该算法具有快速、鲁棒性好的特点，能有效地恢复图像中丢失的细节和边缘信息，同时减少振铃效应。
For practical application of x-ray in-line phase contrast imaging, a high-quality image is essential for object perceptibility and quantitative imaging. The existing approach to improve image quality is limited by high cost and physical limitations of the acquisition hardware. A useful image restoration algorithm based on fast wavelet transform is proposed. It takes advantage of degradation model and extends the modulation transform function (MTF) compensation algorithm from Fourier domain to wavelet domain. The modified algorithm is evaluated through comparison with the conventional MTF compensation algorithm. Its deblurring property is also characterized with the evaluation parameters of image quality. The results demonstrate that the modified algorithm is fast and robust, and it can effectively restore both the lost detail and edge information while ringing artifacts are reduced.