Multichannel Blind CT Image Restoration via Variable Splitting and Alternating Direction Method

Computed tomography（CT） blurring caused by point spread function leads to errors in quantification and visualization. In this paper, multichannel blind CT image restoration is proposed to overcome the effect of point spread function. The main advantage from multichannel blind CT image restoration is...

Full description

Saved in:
Bibliographic Details
Published inTransactions of Tianjin University Vol. 21; no. 6; pp. 524 - 532
Main Author 孙云山 张立毅 张海燕 张经宇
Format Journal Article
LanguageEnglish
Published Tianjin Tianjin University 01.12.2015
Subjects
Engineering
Humanities and Social Sciences
Mechanical Engineering
multidisciplinary
Science
下线
服务
迁移
blind image restoration
medical CT image
variable splitting
alternating direction method
Online AccessGet full text
ISSN1006-4982
1995-8196
DOI10.1007/s12209-015-2667-6

Cover

More Information
Summary:Computed tomography（CT） blurring caused by point spread function leads to errors in quantification and visualization. In this paper, multichannel blind CT image restoration is proposed to overcome the effect of point spread function. The main advantage from multichannel blind CT image restoration is to exploit the diversity and redundancy of information in different acquisitions. The proposed approach is based on a variable splitting to obtain an equivalent constrained optimization formulation, which is addressed with the alternating direction method of multipliers and simply implemented in the Fourier domain. Numerical experiments illustrate that our method obtains a higher average gain value of at least 1.21 d B in terms of Q metric than the other methods, and it requires only 7 iterations of alternating minimization to obtain a fast convergence.
Bibliography:Computed tomography（CT） blurring caused by point spread function leads to errors in quantification and visualization. In this paper, multichannel blind CT image restoration is proposed to overcome the effect of point spread function. The main advantage from multichannel blind CT image restoration is to exploit the diversity and redundancy of information in different acquisitions. The proposed approach is based on a variable splitting to obtain an equivalent constrained optimization formulation, which is addressed with the alternating direction method of multipliers and simply implemented in the Fourier domain. Numerical experiments illustrate that our method obtains a higher average gain value of at least 1.21 d B in terms of Q metric than the other methods, and it requires only 7 iterations of alternating minimization to obtain a fast convergence.
12-1248/T
blind image restoration variable splitting alternating direction method medical CT image
Sun Yunshan, Zhang Liyi , Zhang Haiyan , Zhang Jingyu （1. School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China; 2. College of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China）
ISSN:1006-4982
1995-8196
DOI:10.1007/s12209-015-2667-6