一种基于小波与概率估计的医学图像配准方法

计算机科学 ›› 2009, Vol. 36 ›› Issue (9): 281-282.

一种基于小波与概率估计的医学图像配准方法

康晓东,孙越恒,乔清理,于瑞国,李昌青

(天津医科大学医学影像学系天津 300070);(天津医科大学生物医学工程系天津 300070);(天津大学计算机科学与技术学院天津 300072);(天津大学电子信息工程学院天津 300072)

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受国家自然科学基金(No. 60603027)，天津市应用基础研究计划(No. 05YFJMJC11700)资助。

Medical Image Registration Methods Based on Wavelet Transformation and Probability Estimate

KANG Xiao-dong, SUN Yue-cheng, QIAO Qing-li, YU Rui-guo, LI Chang-qing

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 为提高医学图像配准效果，提出了一种基于小波变换和互信息的配准方法。以小波变换对源图像进行二级分解，并在每个分解层对其子带分量分别进行贝叶斯最大验后概率估计，求概率估计的回归参数，得到配准图像的各小波子带分量，再进行小波逆变换，实现对源医学图像的配准。

关键词: 医学图像配准，小波变换，贝叶斯

Abstract: To improve the performance of medical image registration, a new method based on wavelet transformation and probability estimate was proposed in this paper. Two-step decomposition of the original images was obtained by using the wavelet transformation. Bayesian maximum a posterior (MAP) probability estimate was performed separately for the sub-band component of each decomposition layer. Each wavelet sub-band component of image registration was got by probability estimating on the parameter. Original medical image registration was realized by wavclet's inversing transformation at last.

Key words: Medical-image registration, Wavelet transform, Bayes

康晓东,孙越恒,乔清理,于瑞国,李昌青. 一种基于小波与概率估计的医学图像配准方法[J]. 计算机科学, 2009, 36(9): 281-282. https://doi.org/

KANG Xiao-dong, SUN Yue-cheng, QIAO Qing-li, YU Rui-guo, LI Chang-qing. Medical Image Registration Methods Based on Wavelet Transformation and Probability Estimate[J]. Computer Science, 2009, 36(9): 281-282. https://doi.org/

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