@inproceedings{297247c0bc934f7d8bb4e3b513506de7,
title = "Joint-reconstruction-enabled data acquisition design for single-shot edge-illumination x-ray phase-contrast tomography",
abstract = "Edge illumination X-ray phase-contrast tomography (EIXPCT) is an emerging imaging technology capable of estimating the complex-valued refractive index distribution with laboratory-based X-ray sources. Conventional image reconstruction approaches for EIXPCT require multiple images to be acquired at each tomographic view angle. This contributes to prolonged data-acquisition times and potentially elevated radiation doses, which can hinder in-vivo applications. A new {"}single-shot{"} method has been proposed for joint reconstruction (JR) of the real and imaginary-valued components of the refractive index distribution from a tomographic data set that contains only a single image acquired at each view angle. The JR method does not place restrictions on the types of measurement data that it can be applied to and therefore enables the exploration of innovation single-shot data-acquisition designs. However, there remains an important need to identify data-acquisition designs that will permit accurate JR. In this study, innovative, JR-enabled, single-shot data-acquisition designs for EIXPCT are proposed and characterized quantitatively in simulation studies.",
keywords = "Joint reconstruction, phase-contrast imaging, single-shot imaging",
author = "Yujia Chen and Weimin Zhou and Anastasio, {Mark A.}",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; Medical Imaging 2018: Physics of Medical Imaging ; Conference date: 12-02-2018 Through 15-02-2018",
year = "2018",
doi = "10.1117/12.2293621",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Schmidt, {Taly Gilat} and Guang-Hong Chen and Lo, {Joseph Y.}",
booktitle = "Medical Imaging 2018",
address = "United States",
}