Year: 2017
Type: article
Abstract: Edge illumination (EI) is an x-ray phase-contrast imaging technique, exploiting sensitivity to x-ray refraction to visualize features, which are often not detected by conventional absorption-based radiography. The method does not require a high degree of spatial coherence and is achromatic and, therefore, can be implemented with both synchrotron radiation and commercial x-ray tubes. Using different retrieval algorithms, information about an object's attenuation, refraction, and scattering properties can be obtained. In recent years, a theoretical framework has been developed that enables EI computed tomography (CT) and, hence, three-dimensional imaging. This review provides a summary of these advances, covering the development of different image acquisition schemes, retrieval approaches, and applications. These developments constitute an integral part in the transformation of EI CT into a widely spread imaging tool for use in a range of fields.
Source: Journal of medical imaging
Institutions: University College London, Washington University in St. Louis
Language: English
Subfield: Radiation
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $870
Funders: National Science Foundation, Foundation for the National Institutes of Health, Royal Academy of Engineering, European Commission, National Institutes of Health, Engineering and Physical Sciences Research Council, Seventh Framework Programme, National Institute of Biomedical Imaging and Bioengineering, Division of Chemical, Bioengineering, Environmental, and Transport Systems
Awards: An Enabling Technology for Preclinical X-Ray Imaging of Biomaterials In-Vivo, Maximizing sensitivity and resolution in edge illumination - based X-ray phase-contrast imaging methods, DTP - University College London, Collaborative Research: Development of Preclinical X-Ray Phase Contrast Tomography for 3D Imaging of Engineered Tissues, G4137480266, G4235827027, G537225335, Transforming the use of x-rays in science and society, G8073483692, G8248977208, G9000382841
OpenAlex ID: W2767131992