Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models

Kai Liu; Jie Tian; Chenghu Qin; Xin Yang; Dong Han; Ping Wu; Shouping Zhu

doi:10.1117/1.3570828

1 April 2011 Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models

Kai Liu, Jie Tian, Chenghu Qin, Xin Yang, Dong Han, Ping Wu, Shouping Zhu

Author Affiliations +

Journal of Biomedical Optics, Vol. 16, Issue 4, 046016 (April 2011). https://doi.org/10.1117/1.3570828

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.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Kai Liu, Jie Tian, Chenghu Qin, Xin Yang, Dong Han, Ping Wu, and Shouping Zhu "Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models," Journal of Biomedical Optics 16(4), 046016 (1 April 2011). https://doi.org/10.1117/1.3570828

Published: 1 April 2011

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KEYWORDS

Tomography

Bioluminescence

Optical properties

In vivo imaging

Inverse problems

Traumatic brain injury

Reconstruction algorithms

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