Ji Dongjiang, Hu Chunhong, Yang Hao
The School of Science, Tianjin University of Technology and Education, Tianjin, China.
College of Biomedical Engineering, Tianjin Medical University, Tianjin, China.
J Xray Sci Technol. 2015;23(3):311-20. doi: 10.3233/XST-150491.
Phase contrast imaging (PCI) is a new physical and biochemical technique. Practical biomedical applications combine PCI with computer tomography (CT), Phase contrast CT (PC-CT) can reconstruct 3D images of samples. How to reconstruct high quality image at a low radiation dose level is a hot topic for PC-CT. In order to reduce radiation dose, a strategy is to collect incomplete projection data by few-view projection data. This work presents a reconstruction method for incomplete data PC-CT. It is based on an algebraic iteration reconstruction algorithm and combined with an anisotropic diffusion model to reduce aliasing distortions.To validate the availability of this method, the research carried out a computer-simulated and real experimental synchrotron data. The computer-simulated and real data results demonstrate that the presented method can improve the convergence speed of image reconstruction and reduce the aliasing distortions by incomplete projection data for PC-CT. However, there is no proof that this is true for all kinds of structures.
相衬成像（PCI）是一种新的物理生化技术。实际的生物医学应用将PCI与计算机断层扫描（CT）相结合，相衬CT（PC-CT）可以重建样品的三维图像。如何在低辐射剂量水平下重建高质量图像是PC-CT的一个热门话题。为了降低辐射剂量，一种策略是通过少视图投影数据收集不完整的投影数据。这项工作提出了一种针对不完整数据PC-CT的重建方法。它基于代数迭代重建算法，并结合各向异性扩散模型以减少混叠失真。为了验证该方法的有效性，研究进行了计算机模拟和真实实验同步加速器数据。计算机模拟和真实数据结果表明，所提出的方法可以提高图像重建的收敛速度，并减少PC-CT不完整投影数据的混叠失真。然而，没有证据表明这对所有结构都是如此。
