{"title":"karhunen - loeve -脑活动功能光学成像的转换-后果和意义","authors":"A. Hess, H. Scheich","doi":"10.1109/ICIP.1996.560769","DOIUrl":null,"url":null,"abstract":"Using the Karhunen-Loeve-transformation on sequential images of functional brain activity obtained by optical recording of intrinsic signals we were able to separate different components within the dynamic oximetric response, which are: (1) separate functional representations and vessel artifacts, (2) one component for more consistent local activation could be identified, (3) a second region of more spread activity could be differentiated.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Karhunen-Loeve-transformation of functional optical imaging of brain activity-consequences and implications\",\"authors\":\"A. Hess, H. Scheich\",\"doi\":\"10.1109/ICIP.1996.560769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using the Karhunen-Loeve-transformation on sequential images of functional brain activity obtained by optical recording of intrinsic signals we were able to separate different components within the dynamic oximetric response, which are: (1) separate functional representations and vessel artifacts, (2) one component for more consistent local activation could be identified, (3) a second region of more spread activity could be differentiated.\",\"PeriodicalId\":192947,\"journal\":{\"name\":\"Proceedings of 3rd IEEE International Conference on Image Processing\",\"volume\":\"93 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 3rd IEEE International Conference on Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.1996.560769\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 3rd IEEE International Conference on Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.1996.560769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Karhunen-Loeve-transformation of functional optical imaging of brain activity-consequences and implications
Using the Karhunen-Loeve-transformation on sequential images of functional brain activity obtained by optical recording of intrinsic signals we were able to separate different components within the dynamic oximetric response, which are: (1) separate functional representations and vessel artifacts, (2) one component for more consistent local activation could be identified, (3) a second region of more spread activity could be differentiated.
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