Sinogram-based adaptive iterative reconstruction for sparse view x-ray computed tomography

D. Trinca; Y. Zhong; Y.-Z. Wang; T. Mamyrbayev; E. Libin

doi:10.1117/12.2247854

31 October 2016 Sinogram-based adaptive iterative reconstruction for sparse view x-ray computed tomography

D. Trinca, Y. Zhong, Y.-Z. Wang, T. Mamyrbayev, E. Libin

Proceedings Volume 10020, Optoelectronic Imaging and Multimedia Technology IV; 100201G (2016) https://doi.org/10.1117/12.2247854
Event: SPIE/COS Photonics Asia, 2016, Beijing, China

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.

Citation Download Citation

D. Trinca, Y. Zhong, Y.-Z. Wang, T. Mamyrbayev, and E. Libin "Sinogram-based adaptive iterative reconstruction for sparse view x-ray computed tomography", Proc. SPIE 10020, Optoelectronic Imaging and Multimedia Technology IV, 100201G (31 October 2016); https://doi.org/10.1117/12.2247854

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