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广义信息熵测度在医学图像配准中的应用
引用本文:杨金宝,刘常春,胡顺波.广义信息熵测度在医学图像配准中的应用[J].计算机工程与应用,2008,44(8):34-36.
作者姓名:杨金宝  刘常春  胡顺波
作者单位:山东大学,控制科学与工程学院,济南,250061
基金项目:国家高技术研究发展计划( 863)( the National High- Tech Research and Development Plan of China under Grant No.2006AA02Z4D9),山东省自然科学基金( the Natural Science Foundation of Shandong Province of China under Grant No.Z2006C05)
摘    要:针对互信息测度在配准医学图像时易陷入局部极值的缺点,将Shannon熵扩展到广义熵,提出了三种基于广义熵的信息测度。对于收敛性能的评价,提出收敛宽度和收敛半径的概念。通过人体脑部CT/MR和MR-T1/T2图像的刚体配准实验,从计算时间、收敛性能和配准精度方面,对归一化互信息、广义熵信息测度进行了比较与分析。实验结果表明,在不损失计算时间和配准精度的前提下,广义信息熵测度SRI_0.9和GMI_0.9的收敛性能优于归一化互信息测度,对噪声有很强的鲁棒性。

关 键 词:Shannon熵  互信息  广义熵  图像配准
文章编号:1002-8331(2008)08-0034-03
收稿时间:2007-12-13
修稿时间:2007年12月13

Medical image registration based on generalized entropy measures
YANG Jin-bao,LIU Chang-chun,HU Shun-bo.Medical image registration based on generalized entropy measures[J].Computer Engineering and Applications,2008,44(8):34-36.
Authors:YANG Jin-bao  LIU Chang-chun  HU Shun-bo
Affiliation:School of Control Science and Engineering,Shandong University,Ji’nan 250061,China
Abstract:In order to reduce local maximum and misregistration of mutual information in medical image registration,three information measures based on generalized entropy instead of the Shannon entropy,named as FRI-alpha,SRI-alpha and GMI-t information measures,are proposed.The convergence width and radius are used for evaluating the measure convergence.The computing time,convergence and accuracy are studied by applying these measures to rigid registration of Computed Tomography(CT)/Magnetic Resonance(MR) and MR-T1/T2 simulated images.The results of tests show that the generalized entropy measures outperform normalized mutual information in convergence performance,without compromising computational speed and registration accuracy.
Keywords:Shannon entropy  mutual information  generalized entropy  image registration
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