Qi Hongliang, Zhou Linghong, Xu Yuan, Hong Hong, Lu Wenting, Zhen Xin
School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2013 Apr;30(2):217-22.
An algebraic image reconstruction from few views using bilateral-filtering iterative method was proposed due to the problem of computed tomography insufficient data in the present study. In each iteration reconstruction, we first used algebraic reconstruction technique (ART) algorithm to reconstruct an image, ensuring the non-negativity of the reconstructed image at the same time, and then performed bilateral-filtering to the above-mentioned image. In order to improve reconstructed image quality and accelerate the convergence speed, we developed a modified bilateral-filtering method. Shepp-Logan simulation experiments and real CT projection data reconstructions showed the feasibility of the algorithm. The results showed that, compared with the traditional methods of filtered back projection (FBP), ART and GF-ART,the proposed method has a higher signal-to-noise ratio, and maintains more effectively the image edge information.
由于本研究中计算机断层扫描数据不足的问题，提出了一种使用双边滤波迭代方法从少视图进行代数图像重建的方法。在每次迭代重建中，我们首先使用代数重建技术（ART）算法重建图像，同时确保重建图像的非负性，然后对上述图像进行双边滤波。为了提高重建图像质量并加快收敛速度，我们开发了一种改进的双边滤波方法。Shepp-Logan模拟实验和实际CT投影数据重建表明了该算法的可行性。结果表明，与传统的滤波反投影（FBP）、ART和GF-ART方法相比，该方法具有更高的信噪比，并且能更有效地保留图像边缘信息。
