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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 6, Iss. 3 — Mar. 18, 2011

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

Naoki Sunaguchi, Tetsuya Yuasa, Qingkai Huo, and Masami Ando  »View Author Affiliations


Optics Letters, Vol. 36, Issue 3, pp. 391-393 (2011)
http://dx.doi.org/10.1364/OL.36.000391


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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.

© 2011 Optical Society of America

OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(170.7440) Medical optics and biotechnology : X-ray imaging
(340.7440) X-ray optics : X-ray imaging
(110.3010) Imaging systems : Image reconstruction techniques

ToC Category:
X-ray Optics

History
Original Manuscript: July 27, 2010
Revised Manuscript: November 15, 2010
Manuscript Accepted: December 20, 2010
Published: January 31, 2011

Virtual Issues
Vol. 6, Iss. 3 Virtual Journal for Biomedical Optics

Citation
Naoki Sunaguchi, Tetsuya Yuasa, Qingkai Huo, and Masami Ando, "Convolution reconstruction algorithm for refraction-contrast computed tomography using a Laue-case analyzer for dark-field imaging," Opt. Lett. 36, 391-393 (2011)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ol-36-3-391

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