阈值Landweber在MIT图像重建中的应用

Application of Thresholding Landweber Algorithm in MIT Image Reconstruction

针对目前磁感应成像技术的图像重建质量较低、速度较慢的问题,提出了一种阈值Landweber重建算法.该算法在Landweber算法的基础上设置门限阈值,并在每次迭代中都自适应地调节阈值参数,从而提高了重建图像质量且加快Landweber方法的收敛速度.在Comsol Multiphysics仿真软件建立MIT系统模型的基础上,利用有限元方法求解了正问题.模拟结果表明,利用阈值Landweber图像重建算法获得的图像质量比LBP、未添加阈值的Landweber图像重建算法要好,同时也加快了收敛速度.

To improve image reconstruction quality of magnetic induction tomography（ MIT）,a thresholding Landweber reconstruction algorithm was put forward. The threshold value was set on the basis of the Landweber algorithm,and the threshold parameter was adaptively regulated with the iteration,which could improve the image reconstruction quality and accelerate the convergence rate of the Landweber algorithm. Based on the MIT system model established with Comsol Multiphysics,a forward mathematical model was set up and solved by the finite element method.The simulation results showed that the image reconstruction quality obtained by threshold Landweber reconstruction algorithm is better than that obtained by LBP and the algorithm without threshold,and the convergence rate can be accelerated.