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Proceedings Paper

Regularized CT reconstruction on unstructured grid
Author(s): Yun Chen; Yao Lu; Xiangyuan Ma; Yuesheng Xu
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Paper Abstract

Computed tomography (CT) is an ill-posed problem. Reconstruction on unstructured grid reduces the computational cost and alleviates the ill-posedness by decreasing the dimension of the solution space. However, there was no systematic study on edge-preserving regularization methods for CT reconstruction on unstructured grid. In this work, we propose a novel regularization method for CT reconstruction on unstructured grid, such as triangular or tetrahedral meshes generated from the initial images reconstructed via analysis reconstruction method (e.g., filtered back-projection). The proposed regularization method is modeled as a three-term optimization problem, containing a weighted least square fidelity term motivated by the simultaneous algebraic reconstruction technique (SART). The related cost function contains two non-differentiable terms, which bring difficulty to the development of the fast solver. A fixed-point proximity algorithm with SART is developed for solving the related optimization problem, and accelerating the convergence. Finally, we compare the regularized CT reconstruction method to SART with different regularization methods. Numerical experiments demonstrated that the proposed regularization method on unstructured grid is effective to suppress noise and preserve edge features.

Paper Details

Date Published: 1 April 2016
PDF: 6 pages
Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97834G (1 April 2016); doi: 10.1117/12.2217381
Show Author Affiliations
Yun Chen, Sun Yat-Sen Univ. (China)
Yao Lu, Sun Yat-Sen Univ. (China)
Guangdong Province Key Lab. of Computational Science (China)
Xiangyuan Ma, Sun Yat-Sen Univ. (China)
Yuesheng Xu, Sun Yat-Sen Univ. (China)
Guangdong Province Key Lab. of Computational Science (China)

Published in SPIE Proceedings Vol. 9783:
Medical Imaging 2016: Physics of Medical Imaging
Despina Kontos; Thomas G. Flohr, Editor(s)

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