Haiguang Chen, H. Avram, L. Kaufman, J. Hale, D. Kramer
{"title":"基于维纳和线性预测技术的混合MR图像T2恢复和噪声抑制","authors":"Haiguang Chen, H. Avram, L. Kaufman, J. Hale, D. Kramer","doi":"10.1109/NSSMIC.1993.373567","DOIUrl":null,"url":null,"abstract":"The authors address the problem of enhancing magnetic resonance (MR) images degraded by T2 effects and measurement noise in hybrid imaging process. Wiener filtering and the linear prediction (LP) techniques are utilized to perform global and local T2 corrections respectively. The effectiveness of this combined technique in correcting T2 distortions and reducing measurement noise is demonstrated.<<ETX>>","PeriodicalId":287813,"journal":{"name":"1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference","volume":"8 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"T2 restoration and noise suppression of hybrid MR images using Wiener and linear prediction techniques\",\"authors\":\"Haiguang Chen, H. Avram, L. Kaufman, J. Hale, D. Kramer\",\"doi\":\"10.1109/NSSMIC.1993.373567\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors address the problem of enhancing magnetic resonance (MR) images degraded by T2 effects and measurement noise in hybrid imaging process. Wiener filtering and the linear prediction (LP) techniques are utilized to perform global and local T2 corrections respectively. The effectiveness of this combined technique in correcting T2 distortions and reducing measurement noise is demonstrated.<<ETX>>\",\"PeriodicalId\":287813,\"journal\":{\"name\":\"1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference\",\"volume\":\"8 6\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NSSMIC.1993.373567\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSMIC.1993.373567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
T2 restoration and noise suppression of hybrid MR images using Wiener and linear prediction techniques
The authors address the problem of enhancing magnetic resonance (MR) images degraded by T2 effects and measurement noise in hybrid imaging process. Wiener filtering and the linear prediction (LP) techniques are utilized to perform global and local T2 corrections respectively. The effectiveness of this combined technique in correcting T2 distortions and reducing measurement noise is demonstrated.<>