@inproceedings{2beb933eb3a84c4593f753c78c7edcd1,
title = "A resolution-enhancing image reconstruction method for few-view differential phase-contrast tomography",
abstract = "It is well-known that properly designed image reconstruction methods can facilitate reductions in imaging doses and data-acquisition times in tomographic imaging. The ability to do so is particularly important for emerging modalities such as differential X-ray phase-contrast tomography (D-XPCT), which are currently limited by these factors. An important application of D-XPCT is high-resolution imaging of biomedical samples. However, reconstructing high-resolution images from few-view tomographic measurements remains a challenging task. In this work, a two-step sub-space reconstruction strategy is proposed and investigated for use in few-view D-XPCT image reconstruction. It is demonstrated that the resulting iterative algorithm can mitigate the high-frequency information loss caused by data incompleteness and produce images that have better preserved high spatial frequency content than those produced by use of a conventional penalized least squares (PLS) estimator.",
keywords = "Differential X-ray phase-contrast tomography, Few-view image reconstruction",
author = "Huifeng Guan and Anastasio, {Mark A.}",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Medical Imaging 2017: Physics of Medical Imaging ; Conference date: 13-02-2017 Through 16-02-2017",
year = "2017",
doi = "10.1117/12.2255543",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Schmidt, {Taly Gilat} and Lo, {Joseph Y.} and Flohr, {Thomas G.}",
booktitle = "Medical Imaging 2017",
address = "United States",
}