Reconstruction accuracy of sparse angle CT imaging: ADMM-CT algorithm based on LP-norm

doi:10.3969/j.issn.2095-4344.0563

Abstract

Abstract:

BACKGROUND: Sparse-view CT imaging reconstruction is an effective method for reducing radiation dosage. But the reconstruction accuracy affects its promotion in clinic.

OBJECTIVE: To explore the availability of the alternating direction method of multipliers (ADMM)-CT reconstruction algorithm based on LP-norm, so as to improve the reconstruction accuracy of sparse angle CT imaging.

METHODS: To solve the optimized problem with gradient prior constraint, translate the constrained optimized problem into unconstrained optimization problem in the method of augmented Lagrange. Then, the ADMM could achieve the target that decomposed the optimized model into three sub-problems, which were equivalent to the original problem. Finally, the steepest descent method and the generalized shrinkage algorithm were used to solve the sub-problem separately.

RESULTS AND CONCLUSION: (1) Compared with the traditional TV-POCS algorithm, ART-LP algorithm and Split-Bregman-LP algorithm, the root-mean-square error of the proposed algorithm was lower and the details of the reconstruction image were more complete when projection numbers were 36. (2) To conclude, for sparse angles CT reconstruction, the proposed algorithm named ADMM-LP can obtain high image quality.

中国组织工程研究杂志出版内容重点：人工关节；骨植入物；脊柱；骨折；内固定；数字化骨科；组织工程

Key words: Radiation Dosage, Tomography, X-Ray Computed, Tissue Engineering

CLC Number:

R318

Song Jie, Chen Ping, Pan Jin-xiao. Reconstruction accuracy of sparse angle CT imaging: ADMM-CT algorithm based on LP-norm[J]. Chinese Journal of Tissue Engineering Research, 2018, 22(31): 4998-5002.

Figures/Tables 1

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