Molecular imaging is a newly emerging and rapidly developing biomedical imaging field which was proposed by Weissleder at Harvard University in 1999. Utilizing molecular probe, it can acquire real-time, non-invasive, dynamic and specific in vivo imaging of physiological and pathological change in living organisms, at cellular and molecular levels, and provide qualitative and quantitative information for the study of disease development and quantitative assessment of drugs in vivo. Bioluminescent imaging is an important imaging modality and is being widely applied to all areas of life sciences because of its high sensitivity and low cost properties. Image reconstruction is an important aspect of image research which is related to its widely application in medical area. At present, bioluminescence imaging has been widely used; Three-dimensional bioluminescence tomography is still restricted in the simulation and phantom animals because of the reconstruction accuracy and speed. Image reconstruction is a complex calculation process, including image acquisition, Micro-CT image segmentation, registration and mapping between multi-angle two-dimensional image and three-dimensional image, three-dimensional bioluminescence reconstruction. Many research groups had done a lot of researches in the reconstruction algorithms and proved the algorithms were credible in simulation and phantom experiments. However, the application of algorithm in tumor detection and drug evaluation is almost a blank up to now. Based on these studies, it is necessary to systematically study the three-dimensional registration and reconstruction method and apply it in the tumor detection and drug evaluation. In this thesis, we focus on the following three aspects: 1. We proposed a registration method based on the global optimal search, and applied it in the registration between multi-angle two-dimensional images and three-dimensional Micro-CT image. Contrast with the registration method based on the marked points, this method can save a lot of manual search time and can get high registration accuracy. 2. We proposed a bioluminescent tomography method based on bioluminescent intensity decay calibration and applied it in the early detection of liver tumor in situ. Compared with the traditional imaging method, this method can detect the tumor at a very early stage and can provide credible location information. 3. We applied bioluminescent imaging in the liver tumor research and antitumor evalu...
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