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Journal of Biomedical Optics • Open Access

Novel registration for microcomputed tomography and bioluminescence imaging based on iterated optimal projection
Author(s): Xibo Ma; Kexin Deng; Zhenwen Xue; Xueyan Liu; Shouping Zhu; Chenghu Qin; Xin Yang; Jie Tian

Paper Abstract

As a high-sensitivity imaging modality, bioluminescence tomography can reconstruct the three-dimensional (3-D) location of an internal luminescent source based on the 3-D surface light distribution. However, we can only get the multi-orientation two-dimensional (2-D) bioluminescence distribution in the experiments. Therefore, developing an accurate universal registration method is essential for following bioluminescent source reconstruction. We can then map the multi-orientation 2-D bioluminescence distribution to the 3-D surface derived from anatomical information with it. We propose a 2-D -to-3-D registration method based on iterated optimal projection and applied it in a registration and reconstruction study of three transgenic mice. Compared with traditional registration methods based on the fixed points, our method was independent of the markers and the registration accuracy of the three experiments was improved by 0.3, 0.5, and 0.4 pixels, respectively. In addition, based on the above two registration results using the two registration methods, we reconstructed the 3-D location of the inner bioluminescent source in the three transgenic mice. The reconstruction results showed that the average error distance between the center of the reconstructed element and the center of the real element were reduced by 0.32, 0.48, and 0.39 mm, respectively.

Paper Details

Date Published: 6 February 2013
PDF: 10 pages
J. Biomed. Opt. 18(2) 026013 doi: 10.1117/1.JBO.18.2.026013
Published in: Journal of Biomedical Optics Volume 18, Issue 2
Show Author Affiliations
Xibo Ma, Institute of Automation (China)
Kexin Deng, Xidian Univ. (China)
Zhenwen Xue, Institute of Automation (China)
Xueyan Liu, Northeastern Univ. (China)
Shouping Zhu, Xidian Univ. (China)
Chenghu Qin, Institute of Automation (China)
Xin Yang, Institute of Automation (China)
Jie Tian, Institute of Automation (China)

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