{"title":"连续波漫射光学层析成像的快速图像重建算法","authors":"J. Tsai, N. Chen, W. Fang, Jian-Shiang Chen","doi":"10.1109/LISSA.2011.5754164","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a fast high resolution image reconstruction algorithm for continuous wave (CW) diffuse optical tomography (DOT). First, we devise the overlapped-truncated-Jacobi singular value decomposition (OSVD) scheme for the image reconstruction. Second, we adopt the cubic interpolation to enhance the image quality. Simulation results show that our proposed algorithm effectively reduces the computing complexity, keeps the confidence of the image and enhances the image resolution.","PeriodicalId":227469,"journal":{"name":"2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A fast image reconstruction algorithm for continuous wave diffuse optical tomography\",\"authors\":\"J. Tsai, N. Chen, W. Fang, Jian-Shiang Chen\",\"doi\":\"10.1109/LISSA.2011.5754164\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a fast high resolution image reconstruction algorithm for continuous wave (CW) diffuse optical tomography (DOT). First, we devise the overlapped-truncated-Jacobi singular value decomposition (OSVD) scheme for the image reconstruction. Second, we adopt the cubic interpolation to enhance the image quality. Simulation results show that our proposed algorithm effectively reduces the computing complexity, keeps the confidence of the image and enhances the image resolution.\",\"PeriodicalId\":227469,\"journal\":{\"name\":\"2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA)\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LISSA.2011.5754164\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LISSA.2011.5754164","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fast image reconstruction algorithm for continuous wave diffuse optical tomography
In this paper, we propose a fast high resolution image reconstruction algorithm for continuous wave (CW) diffuse optical tomography (DOT). First, we devise the overlapped-truncated-Jacobi singular value decomposition (OSVD) scheme for the image reconstruction. Second, we adopt the cubic interpolation to enhance the image quality. Simulation results show that our proposed algorithm effectively reduces the computing complexity, keeps the confidence of the image and enhances the image resolution.