[Frontiers in Bioscience 13, 1281-1293, January 1, 2008]

Overview of bioluminescence tomography-a new molecular imaging modality

Ge Wang1, Wenxiang Cong1, Haiou Shen1, Xin Qian1, Michael Henry2, Yue Wang3

1Bioluminescence Tomography Laboratory, VT-WFU School of Biomedical Engineering and Sciences, Virginia Polytechnic Institute and State University, 1880 Pratt Drive, Suite 2000, MC-0493, Blacksburg, VA 24061, USA,2Department of Molecular Physiology and Biophysics, University of Iowa, 200 Hawkins Drive, Iowa City, IA 52242, USA,3Computational Bioinformatics and Bio-imaging Laboratory, Department of Electrical, Computer, and Biomedical Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA


1. Abstract
2. Introduction
3. Bioluminescence tomography
3.1. Precursory work
3.2. Feasibility results
3.2.1. Phantom data
3.2.2. In vivo data
3.3. Multi-spectral extension
3.4. System design
3.4.1. Multi-view setup
3.4.2. Multi-spectral setup
3.4.3. Data acquisition
3.4.4. System calibration
3.4.5. Signal-to-noise ration analysis
3.5. Image reconstruction
3.5.1. Physical modeling
3.5.2. Geometric modeling
3.5.3. Attenuation maps
3.5.4. Source reconstruction
4. Temperature-modulation techniques
4.1. Temperature dependence of the bioluminescence signal
4.2. Control of the mouse body temperature
4.3. Temperature mapping with micro-MRI
4.4. Temperature-modulated reconstruction
5. Discussions and conclusion
6. Appendix A. image unmixing
7. Acknowledgment
8. References


According to the NIH roadmap (1), optical molecular imaging has an instrumental role in the development of molecular medicine. Great efforts, including those with bioluminescent imaging techniques, have been made to understand the linkage between genes and phenotypic expressions in normal and disease biology. Currently, bioluminescent techniques are widely used in small animal studies. However, most of the current bioluminescent imaging techniques are done in the 2D mode. In this overview, we review bioluminescence tomography (3D mode), elaborate on its principle and multi-spectral extension, describe associated image unmixing and normalization techniques, and discuss a number of directions for technical improvements and biomedical applications.