{"title":"A sinogram restoration technique for the hollow projection problem in computer tomography","authors":"Ziying Liu, S. Yau","doi":"10.1109/IEMBS.1998.745502","DOIUrl":null,"url":null,"abstract":"This paper studies the hollow projection problem in computer tomography which occurs frequently in medical imaging, for example when the patient has a metal implant such as a hip-joint that attenuates the rays completely. Here, an interpolation method is presented to restore a complete sinogram from the available incomplete data. The algorithm is based on the Ludwig-Helgason Consistency Theorem and uses the edge values of the missing part of the incomplete sinogram. A computationally efficient algorithm is proposed to solve the interpolation problem. Computer simulation results demonstrate that the proposed method works well.","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":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","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.1998.745502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper studies the hollow projection problem in computer tomography which occurs frequently in medical imaging, for example when the patient has a metal implant such as a hip-joint that attenuates the rays completely. Here, an interpolation method is presented to restore a complete sinogram from the available incomplete data. The algorithm is based on the Ludwig-Helgason Consistency Theorem and uses the edge values of the missing part of the incomplete sinogram. A computationally efficient algorithm is proposed to solve the interpolation problem. Computer simulation results demonstrate that the proposed method works well.