Massimi, L; Buchanan, I; Astolfo, A; Endrizzi, M; Olivo, A; (2020) A fast, non-iterative algorithm for quantitative integration of X-ray differential phase-contrast images. The Optics Express , 28 (26) pp. 39677-39687. 10.1364/OE.405755.

Preview

Text Olivo_A fast, non-iterative algorithm for quantitative integration of X-ray differential phase-contrast images_VoR2.pdf - Published Version Download (3MB) | Preview

Abstract

X-ray phase contrast imaging is gaining importance as an imaging tool. However, it is common for X-ray phase detection techniques to be sensitive to the derivatives of the phase. Therefore, the integration of differential phase images is a fundamental step both to access quantitative pixel content and for further analysis such as segmentation. The integration of noisy data leads to artefacts with a severe impact on image quality and on its quantitative content. In this work, an integration method based on the Wiener filter is presented and tested using simulated and real data obtained with the edge illumination differential X-ray phase imaging method. The method is shown to provide high image quality while preserving the quantitative pixel content of the integrated image. In addition, it requires a short computational time making it suitable for large datasets.

Download activity - last month

Export as XMLCSVJSON

Download activity - last 12 months

Export as XMLCSVJSON

Downloads by country - last 12 months

Export as JSONCSVXML

Archive Staff Only

View Item