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Journal of Biomedical Optics • Open Access

Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models
Author(s): Kai Liu; Jie Tian; Chenghu Qin; Xin Yang; Dong Han; Ping Wu; Shouping Zhu

Paper Abstract

Generally, the performance of tomographic bioluminescence imaging is dependent on several factors, such as regularization parameters and initial guess of source distribution. In this paper, a global-inexact-Newton based reconstruction method, which is regularized by a dynamic sparse term, is presented for tomographic reconstruction. The proposed method can enhance higher imaging reliability and efficiency. In vivo mouse experimental reconstructions were performed to validate the proposed method. Reconstruction comparisons of the proposed method with other methods demonstrate the applicability on an entire region. Moreover, the reliable performance on a wide range of regularization parameters and initial unknown values were also investigated. Based on the in vivo experiment and a mouse atlas, the tolerance for optical property mismatch was evaluated with optical overestimation and underestimation. Additionally, the reconstruction efficiency was also investigated with different sizes of mouse grids. We showed that this method was reliable for tomographic bioluminescence imaging in practical mouse experimental applications.

Paper Details

Date Published: 1 April 2011
PDF: 14 pages
J. Biomed. Opt. 16(4) 046016 doi: 10.1117/1.3570828
Published in: Journal of Biomedical Optics Volume 16, Issue 4
Show Author Affiliations
Kai Liu, Institute of Automation (China)
Jie Tian, Institute of Automation (China)
Chenghu Qin, Institute of Automation (China)
Xin Yang, Institute of Automation (China)
Dong Han, Institute of Automation (China)
Ping Wu, Institute of Automation (China)
Shouping Zhu, Xidian Univ. (China)

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