Your browser doesn't support javascript.
loading
X-ray fan beam coded aperture transmission and diffraction imaging for fast material analysis.
Stryker, Stefan; Greenberg, Joel A; McCall, Shannon J; Kapadia, Anuj J.
Afiliação
  • Stryker S; Medical Physics Graduate Program, Duke University, Durham, NC, USA.
  • Greenberg JA; Medical Physics Graduate Program, Duke University, Durham, NC, USA.
  • McCall SJ; Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA.
  • Kapadia AJ; Department of Pathology, Duke University Medical Center, Durham, NC, USA.
Sci Rep ; 11(1): 10585, 2021 05 19.
Article em En | MEDLINE | ID: mdl-34012075
ABSTRACT
X-ray transmission imaging has been used in a variety of applications for high-resolution measurements based on shape and density. Similarly, X-ray diffraction (XRD) imaging has been used widely for molecular structure-based identification of materials. Combining these X-ray methods has the potential to provide high-resolution material identification, exceeding the capabilities of either modality alone. However, XRD imaging methods have been limited in application by their long measurement times and poor spatial resolution, which has generally precluded combined, rapid measurements of X-ray transmission and diffraction. In this work, we present a novel X-ray fan beam coded aperture transmission and diffraction imaging system, developed using commercially available components, for rapid and accurate non-destructive imaging of industrial and biomedical specimens. The imaging system uses a 160 kV Bremsstrahlung X-ray source while achieving a spatial resolution of ≈ 1 × 1 mm2 and a spectral accuracy of > 95% with only 15 s exposures per 150 mm fan beam slice. Applications of this technology are reported in geological imaging, pharmaceutical inspection, and medical diagnosis. The performance of the imaging system indicates improved material differentiation relative to transmission imaging alone at scan times suitable for a variety of industrial and biomedical applications.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article