{"title":"基于引导滤波的平行束CT图像重建算法","authors":"Xuening Quan, Wenzhang He","doi":"10.1109/CIS2018.2018.00094","DOIUrl":null,"url":null,"abstract":"Reconstruction of high-quality images by few-view projections is a challenge faced by computed tomography. Based on guided image filtering, a new image reconstruction algorithm is presented to reconstruct image. Specially, the guided image is identical to the reconstructed image. The new reconstruction algorithm was applied to the few-view projections. The experimental results show that the new technique can improve the image quality over the compared method.","PeriodicalId":185099,"journal":{"name":"2018 14th International Conference on Computational Intelligence and Security (CIS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Image Reconstruction Algorithm Based on Guided Image Filtering in Parallel-Beam CT\",\"authors\":\"Xuening Quan, Wenzhang He\",\"doi\":\"10.1109/CIS2018.2018.00094\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reconstruction of high-quality images by few-view projections is a challenge faced by computed tomography. Based on guided image filtering, a new image reconstruction algorithm is presented to reconstruct image. Specially, the guided image is identical to the reconstructed image. The new reconstruction algorithm was applied to the few-view projections. The experimental results show that the new technique can improve the image quality over the compared method.\",\"PeriodicalId\":185099,\"journal\":{\"name\":\"2018 14th International Conference on Computational Intelligence and Security (CIS)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 14th International Conference on Computational Intelligence and Security (CIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIS2018.2018.00094\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 14th International Conference on Computational Intelligence and Security (CIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS2018.2018.00094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image Reconstruction Algorithm Based on Guided Image Filtering in Parallel-Beam CT
Reconstruction of high-quality images by few-view projections is a challenge faced by computed tomography. Based on guided image filtering, a new image reconstruction algorithm is presented to reconstruct image. Specially, the guided image is identical to the reconstructed image. The new reconstruction algorithm was applied to the few-view projections. The experimental results show that the new technique can improve the image quality over the compared method.