Based On The Shape Of The Inhomogeneous Optical Tomographic Image Reconstruction Algorithms

As a novel imaging modality for medical purpose, optical tomography(OT)has received much attention in recent years. In this imaging modality, the near-infrared light is used to irradiate the subject, and after which the image corresponding to the optical parameters can be obtained for the subject to be imaged. Owing to the fact that the aforementioned optical parameters are directly related to such functional information as the blood volume and the blood oxygenation saturation status of the subject, the optical tomography is a functional imaging modality. As compared to other imaging modalities such as the X-ray computed tomography, the superiorities of this imaging modality lie in its low instrumentation costs, and also lie in the fact that it is radiative harmless as well as it can be employed for the purpose of long time monitoring of the patients.Early diagnosis and treatment of disease can be achieved by Optical tomography technique, which has a wide range of medical applications prospects. But its image reconstruction is a highly morbid and time-consuming process, the imaging speed is a key factor in restricting the technology widely used, and the photon transmission the choice of the model directly affects the accuracy of the imaging. For fast access to high quality biomedical images, this project will focus on the diffusion equation under the shape of the optical tomography image reconstruction algorithm. The image reconstruction numerical methods are proposed under non-homogeneous medium used shape-based optical tomography. First of all, for the existing problems of the current regional reconstruction algorithm, the establishment of the boundary and optical parameters of the anomalous areas in the context of the non-homogeneous biological tissue, while the framework of the reconstruction algorithm to study the redevelopment area boundary is suitable for multi-anomalous areas. In view of they are had many optimal drawbacks, which the reverse reconstruction algorithm is slow and easy to fall into local, so research has global convergence properties and the faster the reverse reconstruction is now strategy.In mathematics, the diffuse optical tomography reconstruction algorithm can be seen as application optimization problem based on the photon transmission model. That is namely the application of a suitable search strategy to find a reasonable shape and optical parameters in order to achieve the optimum estimator match. In this paper, the perturbation method is used to solve the reconstruction algorithm for jacobian matrix (Jacobi), linear approximation is used to the objective function, the inverse problem boils down to a linear system of the iteration process, Levenberg-Marquardt method is applied to iterative optimization. In reconstruction algorithm, diffusion equation is adopted as the forward model, and its numerical solution is obtained by the finite element method. In the reconstruction process, curve is used to represent boundaries of abnormal regions and abnormal boundaries and optical properties can be recovered simultaneously.The study of this paper showed that a faster and the robustness optical tomography image reconstruction algorithm can be provided by the proposed image reconstruction algorithm. The shape parameters and optical parameters of the anomalous areas could be accurate recovered, and vital signs could be also real-time monitored. The study of this paper may do some help to promote the application of optical molecular imaging techniques in clinical diagnosis and treatment.