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Subtitle:
Article type: Research Article
Authors: Ji, Dongjianga; * | Hu, Chunhongb | Yang, Haob
Affiliations: [a] The School of Science, Tianjin University of Technology and Education, Tianjin, China | [b] College of Biomedical Engineering, Tianjin Medical University, Tianjin, China
Correspondence: [*] Corresponding author: Dongjiang Ji, The School of Science, Tianjin University of Technology and Education, Tianjin 300222, China. E-mail: zjkjdj@126.com
Abstract: 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.
Keywords: Incomplete data, POCS, in-line phase contrast imaging, anisotropic diffusion, PC-CT
DOI: 10.3233/XST-150491
Journal: Journal of X-Ray Science and Technology, vol. 23, no. 3, pp. 311-320, 2015
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