摘要
基于高斯机(GM)提出了一种新的少数投影CT图像重建算法。首先将图像重建问题转化为最大熵准则下的优化问题,然后构造相应的GM模型,并采用双曲调度进行模拟退火,网络的稳定解就是重建问题的优化解。数值模拟结果表明,与联合代数重建技术(SART)相比,从投影角间距为45°的4个不同的投影视角方向获取投影数据时,该算法具有较高的重建精度(平均相对误差为0.03%)和良好的抗噪声性能。
A reconstruction algorithm of computer tomography from fewer views based on a Gaussian machine(GM) was presented. The problem of image reconstruction was formulated as optimization under the criterion of maximum entropy, and a GM was then constructed to solve the optimization problem using simulated annealing technique with hyperbolic temperature adjustment. Compared with the simultaneous algebraic reconstruction technique, the results of numerical simulation show that this technique using the projection data obtained from 4 views with the projection angles 45° apart has fairly high accuracy (the average relative error is 0.03%) and good stability against noise.
出处
《光电子．激光》
EI
CAS
CSCD
北大核心
2003年第10期1074-1077,共4页
Journal of Optoelectronics·Laser
基金
国家自然科学基金资助项目(69878007)
湖北省自然科学基金资助项目(98J078)
图像信息处理与智能控制教育部重点实验室开放研究基金资助项目(TKLJ0112)
湖北省教育厅重点科研计划资助项目(2001A01014)
湖北省科技攻关计划资助项目(2002AA101C62)
关键词
高斯机
图像重建
双曲调度
光学CT
模拟退火
Computer simulation
Entropy
Image reconstruction
Optimization
Simulated annealing
