数据采集与处理2018，Vol.33Issue(2)：248-258,11.DOI:10.16337/j.1004-9037.2018.02.007
基于边缘特征点互信息熵的医学图像配准方法
Medical Image Registration Based on Mutual Information Entropy Combined with Edge Correlation Feature
摘要
Abstract
Image registration is a valuable technique for medical diagnosis and treatment.Due to the inferiority of image registration using maximum mutual information,a new hybrid method of multimodality medical image registration based on mutual information of spatial information is proposed.The new measure that combines mutual information,spatial information and feature characteristics,is proposed.Edge points are used as features and obtained from a morphology gradient detector.Feature characteristics like location,edge strength and orientation are taken into account to compute a joint probability distribution of corresponding edge points in two images.Mutual information based on this function is minimized to find the best alignment parameters.Finally,the translation parameters are calculated by using a gradient descent algorithm.The experimental results demonstrate the high validation precision and excellent accelerating capability of the algorithm.关键词
图像配准/医学图像/互信息熵/测度函数/边缘特征Key words
image registration/medical image/mutual information entropy/measure function/edge feature分类
信息技术与安全科学引用本文复制引用
魏本征,甘洁,尹义龙..基于边缘特征点互信息熵的医学图像配准方法[J].数据采集与处理,2018,33(2):248-258,11.基金项目
国家自然科学基金(U1201258,61572300)资助项目 （U1201258,61572300）
山东省自然科学基金(ZR2015FM010)资助项目 （ZR2015FM010）
山东高校科技计划(J15LN20)资助项目 （J15LN20）
山东省中医药科技发展计划(2015-026)资助项目. （2015-026）
