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Proceedings Paper

Development of bioluminescence tomography
Author(s): Ming Jiang; Tie Zhou; Jiantao Cheng; Wenxiang Cong; Ge Wang
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Paper Abstract

The bioluminescence tomography (BLT) emerges as a novel molecular imaging technology for small animal studies. BLT is an ill-posed inverse source problem subject to Cauchy data of the diffusion model. Several algorithms were developed to regularize this problem. Although those algorithms produce encouraging results, they theoretically require the completely measured data on the external surface. In practice, the observed data is often incomplete due to physical limitations. The BLT problem in this situation is similar to limited angle X-ray CT although the imaging model is more complicated with BLT. In this work, we formulate a mathematical model for BLT from partial data and generalize our previous results on the solution uniqueness to the partial data case. Also, we extend our previous methods to handle incomplete data. The first method is a variant of the well-known EM algorithm. The second one is based on the Landweber scheme. Both methods allow incorporation of knowledge-based constraints. Numerical and physical phantoms are used to evaluate and validate the proposed algorithms.

Paper Details

Date Published: 7 September 2006
PDF: 14 pages
Proc. SPIE 6318, Developments in X-Ray Tomography V, 63180E (7 September 2006); doi: 10.1117/12.680720
Show Author Affiliations
Ming Jiang, Peking Univ. (China)
Tie Zhou, Peking Univ. (China)
Jiantao Cheng, Peking Univ. (China)
Wenxiang Cong, Univ. of Iowa (United States)
Ge Wang, Univ. of Iowa (United States)

Published in SPIE Proceedings Vol. 6318:
Developments in X-Ray Tomography V
Ulrich Bonse, Editor(s)

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