Effect of particle-size selectivity on quantitative X-ray dark-field computed tomography using a grating interferometer

• Published in: Radiation physics and chemistry (Oxford, England : 1993) England : 1993), 2017-08, Vol.137, p.260-263
• Main Authors: Bao, Yuan, Shao, Qigang, Hu, Renfang, Wang, Shengxiang, Gao, Kun, Wang, Yan, Tian, Yangchao, Zhu, Peiping
• Format: Article
• Language: English
• Subjects: Algorithms; Computation; Computed tomography; Dark-field; Diffraction; Diffraction theory; Fresnel diffraction; Grating interferometer; Particle size; Scattering; Selectivity; Signal to noise ratio; Tomography; Visibility
• ISSN: 0969-806X; 1879-0895
• DOI: 10.1016/j.radphyschem.2016.01.022

According to the conclusion of Khelashvili et al. [Phys. Med. Biol. 51, 221 (2006)], the minus logarithm of the visibility ratio fulfills the line integral condition; consequently the scattering information can be reconstructed quantitatively by conventional computed tomography (CT) algorithms. Based on Fresnel diffraction theory, we analyzed the influence of particle-size selectivity on the performance of an X-ray grating interferometer (GI) applied for dark-field CT. The results state the signal-to-noise ratio (SNR) of dark-field imaging is sensitive to the particle size, which demonstrate that the X-ray dark-field CT using a GI can efficiently differentiate materials of identical X-ray absorption and help to choose optimal X-ray energy for known particle size, thus extending the application range of grating interferometer. •Propose a method to differentiate materials of identical X-ray absorption.•Quantitatively reconstruct the dark-field CT image with specific particle-size.•Extend the application range of grating interferometer.