{"title":"支持约束运动伪影校正的磁共振成像","authors":"J. Fienup, J. E. Van Buhler","doi":"10.1364/srs.1995.rtua4","DOIUrl":null,"url":null,"abstract":"Motion during the collection of a magnetic resonance imaging (MRI) data set causes phase errors which result in a smearing or ghosting of the image. In this paper we present a new algorithm for correcting translational motion errors. It follows the same philosophy as the gradient search approaches that we invented to determine the aberrations of the Hubble Space Telescope [1] and to correct phase errors for synthetic-aperture radar [2].","PeriodicalId":184407,"journal":{"name":"Signal Recovery and Synthesis","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Support-Constrained Motion-Artifact Correction for Magnetic Resonance Imaging\",\"authors\":\"J. Fienup, J. E. Van Buhler\",\"doi\":\"10.1364/srs.1995.rtua4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Motion during the collection of a magnetic resonance imaging (MRI) data set causes phase errors which result in a smearing or ghosting of the image. In this paper we present a new algorithm for correcting translational motion errors. It follows the same philosophy as the gradient search approaches that we invented to determine the aberrations of the Hubble Space Telescope [1] and to correct phase errors for synthetic-aperture radar [2].\",\"PeriodicalId\":184407,\"journal\":{\"name\":\"Signal Recovery and Synthesis\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Signal Recovery and Synthesis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/srs.1995.rtua4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Recovery and Synthesis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/srs.1995.rtua4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Support-Constrained Motion-Artifact Correction for Magnetic Resonance Imaging
Motion during the collection of a magnetic resonance imaging (MRI) data set causes phase errors which result in a smearing or ghosting of the image. In this paper we present a new algorithm for correcting translational motion errors. It follows the same philosophy as the gradient search approaches that we invented to determine the aberrations of the Hubble Space Telescope [1] and to correct phase errors for synthetic-aperture radar [2].