{"title":"一种基于强度和点特征的多分辨率医学图像配准方法","authors":"Wei Shen, Chaobing Huang, Wu Zhou","doi":"10.1109/IAEAC.2017.8054138","DOIUrl":null,"url":null,"abstract":"The registration of medical images with local deformation is a difficult problem, especially the images to be registered not only have local deformation but also have great difference in gray-scale distribution. It is a excellent method to solve this problem by adding the Euclidean Distance Metric based on landmark points as the penalty term to the Intensity-based metric in the registration. In this paper, an improved distance measure is proposed, which makes the local deformation more accurate than the Euclidean Distance Metric. In addition, for the multi-resolution registration model, an adaptive weight of metric method for multi-resolution registration is proposed, which makes the registration results better.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A multi-resolution medical image registration method based on intensity and point features\",\"authors\":\"Wei Shen, Chaobing Huang, Wu Zhou\",\"doi\":\"10.1109/IAEAC.2017.8054138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The registration of medical images with local deformation is a difficult problem, especially the images to be registered not only have local deformation but also have great difference in gray-scale distribution. It is a excellent method to solve this problem by adding the Euclidean Distance Metric based on landmark points as the penalty term to the Intensity-based metric in the registration. In this paper, an improved distance measure is proposed, which makes the local deformation more accurate than the Euclidean Distance Metric. In addition, for the multi-resolution registration model, an adaptive weight of metric method for multi-resolution registration is proposed, which makes the registration results better.\",\"PeriodicalId\":432109,\"journal\":{\"name\":\"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAEAC.2017.8054138\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAEAC.2017.8054138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A multi-resolution medical image registration method based on intensity and point features
The registration of medical images with local deformation is a difficult problem, especially the images to be registered not only have local deformation but also have great difference in gray-scale distribution. It is a excellent method to solve this problem by adding the Euclidean Distance Metric based on landmark points as the penalty term to the Intensity-based metric in the registration. In this paper, an improved distance measure is proposed, which makes the local deformation more accurate than the Euclidean Distance Metric. In addition, for the multi-resolution registration model, an adaptive weight of metric method for multi-resolution registration is proposed, which makes the registration results better.