Regional Adaptive Quantitative Susceptibility Mapping Sparse Reconstruction Based On Structural Features

The phase image of magnetic resonance imaging (MRI) contains lots of tissue susceptibility variation information, while obtaining the phase image does not require additional scan time. Quantitative susceptibility mapping(QSM) has become a hot issue in scientific and clinical research, this technique can make the quantitative analysis of the paramagnetic in organization, and it can provide more image information than conventional MRI method, which is conducive to diagnosis of the cerebrovascular and nervous system diseases. The paramagnetic of the tissue can affect the differences of the tissue susceptibility and introduce about local inhomogeneous magnetic field consequently. However, the reconstruction of magnetic susceptibility distribution from local phase information is an ill-posed inverse problem. There are still many problems to be solved. Therefore, a more accurate reconstruction of the magnetic quantitative susceptibility distribution technology helps this techonlogy to get a wider range of applications. The main work of this thesis is listed as follows.1. The principles of quantitative susceptibility mapping method were briefly introduced firstly, then a comprehensive review was made about background field and mathematical quantitative susceptibility distribution inversion reconstruction method contained in the process of quantitative susceptibility reconstruction. We also introduced the quantitative susceptibility imaging applications in clinical medicine.2. We introduced several mainstream susceptibility inversion reconstruction methods, and the results of those different methods were compared. Then we gave a detailed description to the quantitative susceptibility mapping method based on prior information. Insired of this method, we proposed a new quantitative susceptibility mapping method based on structural features jointed with regional adaptivity. 3.To solve the ill-conditioned inverse problem in quantitative susceptibility mapping reconstruction, this paper presents a new mathematics model of the regional adaptive quantitative susceptibility mapping sparse reconstruction based on structural features method. The simulation experimental and human brain experimental results show that this method can effectively obtain high quality images of quantitative susceptibility and improve the reconstruction accuracy of the structure information in the magnetic susceptibility distribution.