Lifeng Yu, D. Xia, Y. Zou, E. Sidky, Xiaochuan Pan, C. Pelizzari
{"title":"A rebinning-type backprojection-filtration algorithm for region of interest reconstruction in fan-beam CT with improved noise properties","authors":"Lifeng Yu, D. Xia, Y. Zou, E. Sidky, Xiaochuan Pan, C. Pelizzari","doi":"10.1109/NSSMIC.2005.1596893","DOIUrl":null,"url":null,"abstract":"We propose an alternative backprojection-filtration(BPF)-based reconstruction algorithm for fan-beam CT, which reconstructs images by first converting the fan-beam data to fan-parallel-beam data and then using a modified parallel-beam BPF algorithm to obtain the reconstruction. This proposed algorithm retains the properties of the original fan-beam BPF algorithm in that it can reconstruct exact region of interest (ROI) images from truncated data and/or super-short-scan data. The major advantage of this algorithm is its improved noise properties because of the elimination of the spatially-variant weighting factor. In addition, the proposed algorithm is computationally more efficient","PeriodicalId":105619,"journal":{"name":"IEEE Nuclear Science Symposium Conference Record, 2005","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Nuclear Science Symposium Conference Record, 2005","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSMIC.2005.1596893","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We propose an alternative backprojection-filtration(BPF)-based reconstruction algorithm for fan-beam CT, which reconstructs images by first converting the fan-beam data to fan-parallel-beam data and then using a modified parallel-beam BPF algorithm to obtain the reconstruction. This proposed algorithm retains the properties of the original fan-beam BPF algorithm in that it can reconstruct exact region of interest (ROI) images from truncated data and/or super-short-scan data. The major advantage of this algorithm is its improved noise properties because of the elimination of the spatially-variant weighting factor. In addition, the proposed algorithm is computationally more efficient