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Proceedings Paper

Anisotropic total variation minimization method for limited-angle CT reconstruction
Author(s): Xin Jin; Liang Li; Zhiqiang Chen; Li Zhang; Yuxiang Xing
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Paper Abstract

This work gives a new Compressed Sensing (CS) based Computed Tomography (CT) reconstruction method for limited angle problem. Currently CS based reconstruction methods are achieved by a minimizing process on the total variation (TV) of CT image under data consistency constraint. For limited-angle problem due to the missing range of projection views the strength of data consistency constraint becomes direction relevant. In our work a new anisotropic total variation (ATV) minimization method is proposed. Instead of using image TV as the minimization objective, an ATV objective is designed which is combined of multiple 1D directional TV with different weights according to the actual scanned angular range. Experiments with simulated data demonstrate the advantages of our approach relative to the standard CS based reconstruction methods.

Paper Details

Date Published: 17 October 2012
PDF: 8 pages
Proc. SPIE 8506, Developments in X-Ray Tomography VIII, 85061C (17 October 2012); doi: 10.1117/12.930339
Show Author Affiliations
Xin Jin, Tsinghua Univ. (China)
Liang Li, Tsinghua Univ. (China)
Zhiqiang Chen, Tsinghua Univ. (China)
Li Zhang, Tsinghua Univ. (China)
Yuxiang Xing, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 8506:
Developments in X-Ray Tomography VIII
Stuart R. Stock, Editor(s)

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