{"title":"基于投影数据的动态SPET分区建模","authors":"P. A. Karjalainen, M. Vauhkonen, J. Kaipio","doi":"10.1109/IEMBS.1998.745540","DOIUrl":null,"url":null,"abstract":"A method for compartmental modeling in dynamic SPET studies is proposed. The method is based on direct use of projection data and does not necessitate the reconstruction of the SPET images. The activity is modeled with the first order Markov model and the Kalman smoothing algorithm is used for the recursive estimation of the activities. The transportation coefficients are simultaneously estimated using a nonlinear output least squares method. The method is evaluated using simulations.","PeriodicalId":156581,"journal":{"name":"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Compartmental modeling in dynamic SPET using projection data\",\"authors\":\"P. A. Karjalainen, M. Vauhkonen, J. Kaipio\",\"doi\":\"10.1109/IEMBS.1998.745540\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method for compartmental modeling in dynamic SPET studies is proposed. The method is based on direct use of projection data and does not necessitate the reconstruction of the SPET images. The activity is modeled with the first order Markov model and the Kalman smoothing algorithm is used for the recursive estimation of the activities. The transportation coefficients are simultaneously estimated using a nonlinear output least squares method. The method is evaluated using simulations.\",\"PeriodicalId\":156581,\"journal\":{\"name\":\"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMBS.1998.745540\",\"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 the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.1998.745540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Compartmental modeling in dynamic SPET using projection data
A method for compartmental modeling in dynamic SPET studies is proposed. The method is based on direct use of projection data and does not necessitate the reconstruction of the SPET images. The activity is modeled with the first order Markov model and the Kalman smoothing algorithm is used for the recursive estimation of the activities. The transportation coefficients are simultaneously estimated using a nonlinear output least squares method. The method is evaluated using simulations.
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