{"title":"计算机断层扫描中空洞投影问题的正弦图恢复技术","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":"{\"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}","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}
A sinogram restoration technique for the hollow projection problem in computer tomography
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.