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Proceedings Paper

Sinogram-based adaptive iterative reconstruction for sparse view x-ray computed tomography
Author(s): D. Trinca; Y. Zhong; Y.-Z. Wang; T. Mamyrbayev; E. Libin
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Paper Abstract

With the availability of more powerful computing processors, iterative reconstruction algorithms have recently been successfully implemented as an approach to achieving significant dose reduction in X-ray CT. In this paper, we propose an adaptive iterative reconstruction algorithm for X-ray CT, that is shown to provide results comparable to those obtained by proprietary algorithms, both in terms of reconstruction accuracy and execution time. The proposed algorithm is thus provided for free to the scientific community, for regular use, and for possible further optimization.

Paper Details

Date Published: 31 October 2016
PDF: 6 pages
Proc. SPIE 10020, Optoelectronic Imaging and Multimedia Technology IV, 100201G (31 October 2016); doi: 10.1117/12.2247854
Show Author Affiliations
D. Trinca, Sc Piretus Prod Srl (Romania)
Y. Zhong, Tomsk Polytechnic Univ. (Russian Federation)
Y.-Z. Wang, Tomsk Polytechnic Univ. (Russian Federation)
T. Mamyrbayev, Tomsk Polytechnic Univ. (Russian Federation)
E. Libin, Tomsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10020:
Optoelectronic Imaging and Multimedia Technology IV
Qionghai Dai; Tsutomu Shimura, Editor(s)

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