Computational and Mathematical Methods in Medicine
Volume 2012 (2012), Article ID 494808, 10 pages
http://dx.doi.org/10.1155/2012/494808
Research Article

Sparse Reconstruction for Bioluminescence Tomography Based on the Semigreedy Method

Wei Guo,1 Kebin Jia,1 Qian Zhang,2 Xueyan Liu,3 Jinchao Feng,1 Chenghu Qin,2 Xibo Ma,2 Xin Yang,2 and Jie Tian2

1The College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, China
2Intelligent Medical Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
3Sino-Dutch Biomedical and Information Engineering School of Northeastern University, Liaoning, Shenyang 110004, China

Received 31 May 2012; Accepted 26 June 2012

Academic Editor: Huafeng Liu

Copyright © 2012 Wei Guo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Bioluminescence tomography (BLT) is a molecular imaging modality which can three-dimensionally resolve the molecular processes in small animals in vivo. The ill-posedness nature of BLT problem makes its reconstruction bears nonunique solution and is sensitive to noise. In this paper, we proposed a sparse BLT reconstruction algorithm based on semigreedy method. To reduce the ill-posedness and computational cost, the optimal permissible source region was automatically chosen by using an iterative search tree. The proposed method obtained fast and stable source reconstruction from the whole body and imposed constraint without using a regularization penalty term. Numerical simulations on a mouse atlas, and in vivo mouse experiments were conducted to validate the effectiveness and potential of the method.