基于改进遗传算法的磁感应成像逆问题研究
he Inverse Problem Study of Magnetic Induction Tomography Based on Adjusted Genetic Algorithm
磁感应成像是一种新型的医学功能性成像技术。本文提出一种生物组织的分层模型,根据该模型,提出一种磁感应成像图像重构的新方法——基于改进遗传算法的逆问题算法。作为逆问题的一部分,提出基于区域分解的Gauss-Legendre数值积分方法,计算磁感应成像的正问题。对遗传算法的初始种群生成,选择,交叉和变异操作进行了改进。仿真结果表明:该方法能够反应生物组织浅层2-3cm内的局部和大面积出血情况,为磁感应成像技术在颅内血肿临床监护等方面的应用打下了基础。
Magnetic induction tomography is a new medical functional imaging technique. A multi-layer model of the biological tissue was assumed. And a new reconstruction method of magnetic induction tomography based on the adjusted genetic algorithm was introduced. As a part of the inverse problem, the forward problem was calculated using regionalized Gauss-Legendre numerical integral method. The generation of the initial population, the selection, the recombination and the mutation were all adjusted. The simulation indicates that this algorithm is able to detect haemorrhage appears in shallow-layer of 2-3cm depth in the biological tissue, and this algorithm can be used in the medical application of the cerebral haemorrhage monitoring in the future.
何为、张占龙、徐征
医学研究方法基础医学数学
磁感应成像逆问题改进遗传算法
Magnetic Induction Tomographyinverse problemadjusted genetic algorithm
何为,张占龙,徐征.基于改进遗传算法的磁感应成像逆问题研究[EB/OL].(2009-04-30)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/200905-10.点此复制
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