摘要
图像重建等价于逆向问题的求解 ,也就是说 ,利用实时测量的数据来预测均匀组织中所含异物的存在性、位置、几何形状和光学特性 .本文详细讨论了目前在国际上广泛采用的图像重建算法 ,并重点讨论了扰动方法以及各种方法在光学 CT图像重建中的可行性 .
Image reconstruction is treated as a kind of inverse problem,i.e.,solving the inverse imaging problem to predict the presence,location,geometry and properties of heterogeneities located in homogeneous tissues using the data acguired from time dependent measurement of photon migration.In the paper,the algorithm of image reconstruction applied in the world now has been discussed.The discussion focuses on perturbation methods and the feasibility of each image reconstruction algorithm in optical computer tomography.
出处
《沈阳工业学院学报》
2000年第4期7-11,共5页
Journal of Shenyang Institute of Technology
关键词
光学CT
正向问题
逆向问题
有限元法
扩散方程
图像重建
算法
optical CT
forward problem
inverse problem
finite element method
diffusion equation
image reconstruction
regularization
perturbation
作者简介
郭海峰(1970- ),男,辽宁沈阳人,助教,工学硕士.
