{"title":"近自动检测CT/MRI融合的箭头状标记","authors":"P. Elsen, Loek van 't Zelfde, M. Viergever","doi":"10.1109/ICPR.1992.201670","DOIUrl":null,"url":null,"abstract":"An algorithm is presented to detect arrow-shaped skin markers that have been designed for matching of CT and MR images. The markers can be located in the images with subslice accuracy, which allows accurate registration even in standard imaging protocols employing thick slices and/or large interslice gaps. In the past, extracting the marker information from the images has been a highly interactive process. The algorithm described only requires a minimal amount of user interaction.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Near-automatic detection of arrow-shaped markers for CT/MRI fusion\",\"authors\":\"P. Elsen, Loek van 't Zelfde, M. Viergever\",\"doi\":\"10.1109/ICPR.1992.201670\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An algorithm is presented to detect arrow-shaped skin markers that have been designed for matching of CT and MR images. The markers can be located in the images with subslice accuracy, which allows accurate registration even in standard imaging protocols employing thick slices and/or large interslice gaps. In the past, extracting the marker information from the images has been a highly interactive process. The algorithm described only requires a minimal amount of user interaction.<<ETX>>\",\"PeriodicalId\":410961,\"journal\":{\"name\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1992.201670\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.201670","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Near-automatic detection of arrow-shaped markers for CT/MRI fusion
An algorithm is presented to detect arrow-shaped skin markers that have been designed for matching of CT and MR images. The markers can be located in the images with subslice accuracy, which allows accurate registration even in standard imaging protocols employing thick slices and/or large interslice gaps. In the past, extracting the marker information from the images has been a highly interactive process. The algorithm described only requires a minimal amount of user interaction.<>