Combined Energy Minimization for Image Reconstruction from Few Views

被引：70

作者：

Wei, Wei ^{[1
]}

Yang, Xiao-Lin ^{[2
]}

Zhou, Bin ^{[3
]}

Feng, Jun ^{[2
]}

Shen, Pei-Yi ^{[4
]}

机构：

[1] Xian Univ Technol, Sch Comp Sci & Engn, Xian 710048, Peoples R China

[2] Chengdu Univ Technol, Coll Management Sci, Chengdu 610059, Peoples R China

[3] Xian Univ Sci & Technol, Coll Sci, Xian 710054, Peoples R China

[4] Xidian Univ, Natl Sch Software, Xian 710071, Peoples R China

来源：

MATHEMATICAL PROBLEMS IN ENGINEERING | 2012年 / 2012卷

关键词：

COMPUTED-TOMOGRAPHY; ALGORITHMS;

D O I：

10.1155/2012/154630

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Reconstruction from few views is an important problem in medical imaging and applied mathematics. In this paper, a combined energy minimization is proposed for image reconstruction. l(2) energy of the image gradient is introduced in the lower density region, and it can accelerate the reconstruction speed and improve the results. Total variation of the image is introduced in the higher density region, and the image features can be preserved well. Nonlinear conjugate gradient method is introduced to solve the problem. The efficiency and accuracy of our method are shown in several numerical experiments.

引用

页数：15

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