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

Medicine

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