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Proceedings Paper

In vivo heterogeneous tomographic bioluminescence imaging via a higher-order approximation forward model
Author(s): Kai Liu; Jie Tian; Chenghu Qin; Xin Yang; Shouping Zhu; Dong Han; Ping Wu; Xiaoqian Dai
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Paper Abstract

In vivo bioluminescence imaging (BLI) has played a more and more important role in biomedical research of small animals. Tomographic bioluminescence imaging (TBI) further translates the BLI optical information into three-dimensional bioluminescent source distribution, which could greatly facilitate applications in related studies. Although the diffusion approximation (DA) is one of the most widely-used forward models, higher-order approximations are still needed for in vivo small animal imaging. In this work, as a relatively accurate and higher-order approximation theory, a simplified spherical harmonics approximation (SPN) is applied for heterogeneous tomographic bioluminescence imaging in vivo. Furthermore, coupled with the SPN, a generalized graph cuts optimization approach is utilized, making BLT reconstructions fast and suit for the whole body of small animals. Heterogeneous in vivo experimental reconstructions via the higher-order approximation model demonstrate higher tomographic imaging quality, which is shown the capability for practical biomedical tomographic imaging applications.

Paper Details

Date Published: 9 March 2011
PDF: 8 pages
Proc. SPIE 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging, 79650C (9 March 2011); doi: 10.1117/12.878040
Show Author Affiliations
Kai Liu, Institute of Automation (China)
Jie Tian, Institute of Automation (China)
Xidian Univ. (China)
Chenghu Qin, Institute of Automation (China)
Xin Yang, Institute of Automation (China)
Shouping Zhu, Xidian Univ. (China)
Dong Han, Institute of Automation (China)
Ping Wu, Institute of Automation (China)
Xiaoqian Dai, Institute of Automation (China)

Published in SPIE Proceedings Vol. 7965:
Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging
John B. Weaver; Robert C. Molthen, Editor(s)

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