Reconstruction Method for Optical Tomography Based on the Linearized Bregman Iteration with Sparse Regularization
Joint Authors
Leng, Chengcai
Yu, Dongdong
Zhang, Shuang
An, Yu
Hu, Yifang
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-01
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Optical molecular imaging is a promising technique and has been widely used in physiology, and pathology at cellular and molecular levels, which includes different modalities such as bioluminescence tomography, fluorescence molecular tomography and Cerenkov luminescence tomography.
The inverse problem is ill-posed for the above modalities, which cause a nonunique solution.
In this paper, we propose an effective reconstruction method based on the linearized Bregman iterative algorithm with sparse regularization (LBSR) for reconstruction.
Considering the sparsity characteristics of the reconstructed sources, the sparsity can be regarded as a kind of a priori information and sparse regularization is incorporated, which can accurately locate the position of the source.
The linearized Bregman iteration method is exploited to minimize the sparse regularization problem so as to further achieve fast and accurate reconstruction results.
Experimental results in a numerical simulation and in vivo mouse demonstrate the effectiveness and potential of the proposed method.
American Psychological Association (APA)
Leng, Chengcai& Yu, Dongdong& Zhang, Shuang& An, Yu& Hu, Yifang. 2015. Reconstruction Method for Optical Tomography Based on the Linearized Bregman Iteration with Sparse Regularization. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057861
Modern Language Association (MLA)
Leng, Chengcai…[et al.]. Reconstruction Method for Optical Tomography Based on the Linearized Bregman Iteration with Sparse Regularization. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1057861
American Medical Association (AMA)
Leng, Chengcai& Yu, Dongdong& Zhang, Shuang& An, Yu& Hu, Yifang. Reconstruction Method for Optical Tomography Based on the Linearized Bregman Iteration with Sparse Regularization. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057861
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057861