Share Email Print
cover

Proceedings Paper

Tomographic bioluminescence imaging by an iteratively re-weighted minimization
Author(s): Ping Wu; Kai Liu; Zhenwen Xue; Wei Guo; Chenghu Qin; Jie Tian
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Tomographic bioluminescence imaging (TBI), with visible light emission in living organisms, is an effective way of molecular imaging, which allows for the study of ongoing tumor biological processes in vivo and non-invasively. This newly developed technology enables three-dimensional accuracy localization and quantitative analysis of the target tumor cells in small animal via reconstructing the images acquired by the high-resolution imaging system. Due to the difficulty of reconstruction, which is often referred to an ill-posed inverse problem, continuous efforts are still made to find more practical and efficient approaches. In this paper, an iteratively re-weighted minimization (IRM) has been applied to reconstruct the entire source distribution, which is known as sparse signals, inside the target tissue with the limited outgoing photon density on its boundary. By introducing a weight function into the objective function, we convert the lp norm problem into a more simple form of l2 norm to reduce the computational complexity. The weight function is updated in each iterative step to compute the final optimal solution more efficiently. This method is proved to be robust to different parameters, and mouse experiments are conducted to validate the feasibility of IRM approach, which is also reliable at whole-body imaging.

Paper Details

Date Published: 14 April 2012
PDF: 7 pages
Proc. SPIE 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging, 831714 (14 April 2012); doi: 10.1117/12.911725
Show Author Affiliations
Ping Wu, Intelligent Medical Research Ctr., Institute of Automation (China)
Kai Liu, Intelligent Medical Research Ctr., Institute of Automation (China)
Zhenwen Xue, Intelligent Medical Research Ctr., Institute of Automation (China)
Wei Guo, Beijing Univ. of Technology (China)
Chenghu Qin, Intelligent Medical Research Ctr., Institute of Automation (China)
Jie Tian, Intelligent Medical Research Ctr., Institute of Automation (China)


Published in SPIE Proceedings Vol. 8317:
Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging
Robert C. Molthen; John B. Weaver, Editor(s)

© SPIE. Terms of Use
Back to Top