{"title":"迭代mojette重建的全局方案","authors":"B. Recur, H. D. Sarkissian, M. Servieres","doi":"10.1109/ICIP.2014.7025350","DOIUrl":null,"url":null,"abstract":"In this paper, we develop a global iterative algorithm for tomographic reconstructions from Mojette projections. Since Spline-Mojette projections are obtained by convolving Dirac-Mojette values with a specific uniform projection kernel, we decorrelate iterative reconstructions from projection model and provide a global scheme available for all Mojette models. We refer iterative algorithms to their Radon based counterparts and propose a comparative study from several Mojette acquisitions.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"115 1","pages":"1748-1752"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Global scheme for iterative mojette reconstructions\",\"authors\":\"B. Recur, H. D. Sarkissian, M. Servieres\",\"doi\":\"10.1109/ICIP.2014.7025350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we develop a global iterative algorithm for tomographic reconstructions from Mojette projections. Since Spline-Mojette projections are obtained by convolving Dirac-Mojette values with a specific uniform projection kernel, we decorrelate iterative reconstructions from projection model and provide a global scheme available for all Mojette models. We refer iterative algorithms to their Radon based counterparts and propose a comparative study from several Mojette acquisitions.\",\"PeriodicalId\":6856,\"journal\":{\"name\":\"2014 IEEE International Conference on Image Processing (ICIP)\",\"volume\":\"115 1\",\"pages\":\"1748-1752\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Image Processing (ICIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.2014.7025350\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Image Processing (ICIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2014.7025350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Global scheme for iterative mojette reconstructions
In this paper, we develop a global iterative algorithm for tomographic reconstructions from Mojette projections. Since Spline-Mojette projections are obtained by convolving Dirac-Mojette values with a specific uniform projection kernel, we decorrelate iterative reconstructions from projection model and provide a global scheme available for all Mojette models. We refer iterative algorithms to their Radon based counterparts and propose a comparative study from several Mojette acquisitions.