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:
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Corresponding author: Dongjiang Ji, The School of Science, Tianjin University of Technology and Education, Tianjin 300222, China. E-mail: [email protected]
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.
