3D Fluorescence Molecular Tomography Reconstruction For The Improved Split Bregman Algorithm

Fluorescent molecule tomography is a new optical molecular imaging modality.The technology provides an important visual tool for diagnosis of diseases,biological cells lesion segmentation and medical drugs delivery by using biological protein markers isotopes for fluorescent proteins,and then the fluorescence molecular protein was fed into the biological tissue where needs to be observed or reconstructed.The fluorescent protein organization for the presence of organisms to locate and refactoring,while we observe the cell of biology molecular level of biochemical reactions.Fluorescent molecular refactoring technology has the advantages of the early observing compared with traditional medical imaging technology including X-ray,CT and MRI.Traditional medical image processing technology is mainly shows the biological effect of organizational change,namely organic changes have taken place in organ can be observed,after just can use in the anatomy of the change of disease detection technology.But molecular imaging techniques can detect disease in the process of cellular and molecular level of abnormal situation and see the biological organization change of cell and molecular level of biological chemistry in the case of organ tissue lesions has not happened.Traditional experimental method requires execution of experimental animals in different time points.we are used to obtain the corresponding data that multiple time points the experiment error caused by the individual differences of the results.But using fluorescent molecular refactoring techniques could theoretically track the same group of subjects in different time points and record the same observable change of mobile.The data obtained is more believable.It not only improves the experiment efficiency,but also reduces the fund.This thesis mainly includes:(1)Introduce the development of fluorescence molecular imaging and traditional 3D reconstruction algorithms.Fluorescent molecular refactoring techniques for 3D reconstruction algorithm introduced commonly used mathematical model.Introduce methods for solving the convex optimization problem,drop method,and Bregman iteration.(2)We will study the Split Bregman iterative algorithm.Based on the original Split Bregman algorithms,l1 regularization and total variation,denoising problem solving method,we derive the Split Bregman improved method which combined with total variation denoising method.Finally,we introduce l1 ls and GPSR methods using for comparison.(3)Study on the experimental performance of two traditional algorithm.Carry out vascular simulation experiment and 3D freezing slice reconstruction experiments by using 3D fluorescent molecular technology reconstruction and numerical simulation platform to carry out vascular simulation experiment and 3D slice reconstruction experiments.