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Backprojection Wiener deconvolution for computed tomographic reconstruction

journal contribution
posted on 21.12.2018, 00:00 by Zhenglin WangZhenglin Wang, J Cai, Wanwu GuoWanwu Guo, M Donnelley, D Parsons, I Lee
Analytical CT reconstruction is popular in practice because of its computational efficiency, but it suffers from low reconstruction quality when an insufficient number of projections are used. To address this issue, this paper presents a new analytical method of backprojection Wiener deconvolution (BPWD). BPWD executes backprojection first, and then applies a Wiener deconvolution to the whole backprojected image. The Wiener filter is derived from a ramp filter, enabling the proposed approach to perform reconstruction and denoising simultaneously. The use of a filter after backprojection does not differentiate between real sampled projections and interpolated ones, introducing reconstruction errors. Therefore a weighted ramp filter was applied to increase the contribution of real sampled projections in the reconstruction, thus improving reconstruction quality. Experiments on synthetic data and real phase-contrast x-ray images showed that the proposed approach yields better reconstruction quality compared to the classical filtered backprojection (FBP) method, with comparable reconstruction speed.

History

Volume

13

Issue

12

Start Page

1

End Page

22

Number of Pages

22

eISSN

1932-6203

Publisher

Public Library of Science (PLoS)

Additional Rights

CC BY 4.0

Language

en

Peer Reviewed

Yes

Open Access

Yes

Acceptance Date

08/11/2018

External Author Affiliations

University of Adelaide; University of South Australia; 3 Respiratory and Sleep Medicine, Women’s and Children’s Hospital, North Adelaide, SA,

Author Research Institute

Centre for Intelligent Systems

Era Eligible

Yes

Journal

PLOS ONE

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