{"title":"超声图像空间定位校正算法","authors":"Wan Long, Ba Fengli","doi":"10.1109/ICCDA.2010.5540734","DOIUrl":null,"url":null,"abstract":"Based on the standardization of irregular small-angle image data standardization, three-dimensional image reconstruction of the system is proposed and it is suitable for the standardization of methods and formulas. It is understood that there is a random angle difference when irregular sampling ultrasound image sequences. The proposed method in this paper standards them into a sequency of parallel images.","PeriodicalId":190625,"journal":{"name":"2010 International Conference On Computer Design and Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ultrasound image correction algorithm for spatial location\",\"authors\":\"Wan Long, Ba Fengli\",\"doi\":\"10.1109/ICCDA.2010.5540734\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the standardization of irregular small-angle image data standardization, three-dimensional image reconstruction of the system is proposed and it is suitable for the standardization of methods and formulas. It is understood that there is a random angle difference when irregular sampling ultrasound image sequences. The proposed method in this paper standards them into a sequency of parallel images.\",\"PeriodicalId\":190625,\"journal\":{\"name\":\"2010 International Conference On Computer Design and Applications\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference On Computer Design and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCDA.2010.5540734\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference On Computer Design and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCDA.2010.5540734","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ultrasound image correction algorithm for spatial location
Based on the standardization of irregular small-angle image data standardization, three-dimensional image reconstruction of the system is proposed and it is suitable for the standardization of methods and formulas. It is understood that there is a random angle difference when irregular sampling ultrasound image sequences. The proposed method in this paper standards them into a sequency of parallel images.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
