{"title":"Feasible Cone Beam Scanning Methods for Exact 3-D Tomographic Image Reconstruction","authors":"H. Kudo, Tsuneo Saito","doi":"10.1364/srs.1989.fd3","DOIUrl":null,"url":null,"abstract":"Considerable efforts have been made for visualizing 3-D structures of human organs by x-ray tomography. From the view point of the data collection time, the cone beam method with a circular source motion is promising for this purpose. However, the exact 3-D image reconstruction from the cone beam projections is a troublesome and time-consuming problem, because the solution cannot be decomposed into 2-D transaxial slices. For this difficulty, approximate reconstruction algorithms are proposed and practically used in many application areas [1,2]. Unfortunately, these algorithms suffer from the degradation of reconstructed images when the cone angle is large.","PeriodicalId":193110,"journal":{"name":"Signal Recovery and Synthesis III","volume":"10 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Recovery and Synthesis III","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/srs.1989.fd3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Considerable efforts have been made for visualizing 3-D structures of human organs by x-ray tomography. From the view point of the data collection time, the cone beam method with a circular source motion is promising for this purpose. However, the exact 3-D image reconstruction from the cone beam projections is a troublesome and time-consuming problem, because the solution cannot be decomposed into 2-D transaxial slices. For this difficulty, approximate reconstruction algorithms are proposed and practically used in many application areas [1,2]. Unfortunately, these algorithms suffer from the degradation of reconstructed images when the cone angle is large.