@Article{JFBI-8-521,
author = {Fengrong Sun, Paul Babyn, Tetsuya Yuasa, Mingqiang Zhang, Feng Qin, Naoki Sunaguchi, Khan A. Wahid and Masami Ando},
title = {An Iterative Image Reconstruction for Differential X-ray Phase-contrast Computed Tomography},
journal = {Journal of Fiber Bioengineering and Informatics},
year = {2015},
volume = {8},
number = {3},
pages = {521--528},
abstract = {The last decade saw the growth of the use of X-ray Phase-contrast Computed Tomography (PCT)
imaging. Differential X-ray Phase-contrast CT (DPCT) has shown bright prospect for clinical use in
recent years, but how to best reconstruct the phase-contrast tomographic image from incomplete or
inconsistent projections remains challenging. We designed an iterative image reconstruction method for
DPCT utilizing compressed sensing. This proposed method reconstructs the phase-contrast tomographic
image of the refractive index decrement gradient with acceptable accuracy and image quality even when
the projection data is undersampled or noisy. Real data experiments indicate this proposed method
is accurate and practical and outperforms the analytic filtered back-projection reconstruction. This
method shows potential for X-ray DPCT facilities in low dose tomography and fast acquisition imaging.},
issn = {2617-8699},
doi = {https://doi.org/10.3993/jfbim00125},
url = {http://global-sci.org/intro/article_detail/jfbi/4733.html}
}