Talbot-Lau x-ray phase-contrast setup for fast scanning of large samples

Seifert M, Ludwig V, Käppler S, Horn F, Meyer P, Pelzer G, Rieger J, Sand D, Michel T, Mohr J, Riess C, Anton G (2019)


Publication Type: Journal article

Publication year: 2019

Journal

Book Volume: 9

DOI: 10.1038/s41598-018-38030-3

Abstract

Compared to conventional attenuation x-ray radiographic imaging, the x-ray Talbot-Lau technique provides further information about the scattering and the refractive properties of the object in the beam path. Hence, this additional information should improve the diagnostic process concerning medical applications and non-destructive testing. Nevertheless, until now, due to grating fabrication process, Talbot-Lau imaging suffers from small grating sizes (70 mm diameter). This leads to long acquisition times for imaging large objects. Stitching the gratings is one solution. Another one consists of scanning Talbot-Lau setups. In this publication, we present a compact and very fast scanning setup which enables imaging of large samples. With this setup a maximal scanning velocity of 71.7 mm/s is possible. A resolution of 4.1 lines/mm can be achieved. No complex alignment procedures are necessary while the field of view comprises 17.5 x 150 cm2. An improved reconstruction algorithm concerning the scanning approach, which increases robustness with respect to mechanical instabilities, has been developed and is presented. The resolution of the setup in dependence of the scanning velocity is evaluated. The setup imaging qualities are demonstrated using a human knee ex-vivo as an example for a high absorbing human sample.

Authors with CRIS profile

Involved external institutions

How to cite

APA:

Seifert, M., Ludwig, V., Käppler, S., Horn, F., Meyer, P., Pelzer, G.,... Anton, G. (2019). Talbot-Lau x-ray phase-contrast setup for fast scanning of large samples. Scientific Reports, 9. https://dx.doi.org/10.1038/s41598-018-38030-3

MLA:

Seifert, Maria, et al. "Talbot-Lau x-ray phase-contrast setup for fast scanning of large samples." Scientific Reports 9 (2019).

BibTeX: Download