Literature DB >> 21283200

Convolution reconstruction algorithm for refraction-contrast computed tomography using a Laue-case analyzer for dark-field imaging.

Naoki Sunaguchi1, Tetsuya Yuasa, Qingkai Huo, Masami Ando.   

Abstract

We derive a reconstruction algorithm for refraction-contrast computed tomography (CT) using dark-field imaging (DFI) optics, which can extract refraction information by a single shot, from the ray equation in geometrical optics. The proposed algorithm is similar to the convolution reconstruction technique widely used in conventional CT. Thus, this algorithm can be implemented simply while also being fast and stable. To demonstrate its validity, we constructed the imaging system based on DFI optics composed of a transmission Laue-type angular analyzer at the vertical wiggler beamline BL-14C in KEK and performed a preliminary imaging experiment using a physical phantom to successfully obtain the DFI-CT image using the proposed algorithm.

Mesh:

Year:  2011        PMID: 21283200     DOI: 10.1364/OL.36.000391

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  3 in total

1.  Crystal analyser-based X-ray phase contrast imaging in the dark field: implementation and evaluation using excised tissue specimens.

Authors:  Masami Ando; Naoki Sunaguchi; Yanlin Wu; Synho Do; Yongjin Sung; Abner Louissaint; Tetsuya Yuasa; Shu Ichihara; Rajiv Gupta
Journal:  Eur Radiol       Date:  2013-09-19       Impact factor: 5.315

Review 2.  X-ray Dark-Field Imaging (XDFI)-a Promising Tool for 3D Virtual Histopathology.

Authors:  Daisuke Shimao; Naoki Sunaguchi; Tetsuya Yuasa; Masami Ando; Kensaku Mori; Rajiv Gupta; Shu Ichihara
Journal:  Mol Imaging Biol       Date:  2021-02-23       Impact factor: 3.488

3.  In Vitro Validation of an Artefact Suppression Algorithm in X-Ray Phase-Contrast Computed Tomography.

Authors:  Naoki Sunaguchi; Tetsuya Yuasa; Shin-Ichi Hirano; Rajiv Gupta; Masami Ando
Journal:  PLoS One       Date:  2015-08-21       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.