D. Graveron-Demilly , G.J. Marseille , Y. Crémillieux , S. Cavassila , D. van Ormond
{"title":"SRS-FT, a Fourier Imaging Method Based on Sparse Radial Scanning and Bayesian Estimation","authors":"D. Graveron-Demilly , G.J. Marseille , Y. Crémillieux , S. Cavassila , D. van Ormond","doi":"10.1006/jmrb.1996.0121","DOIUrl":null,"url":null,"abstract":"<div><p>A new 3D Fourier imaging method based on sparse radial scanning (SRS-FT) of<em>k</em>space is proposed. It allows acquisition of FIDs and is therefore well suited to imaging objects with very short<em>T</em><sub>2</sub>. Use of a Bayesian procedure allows (1) an important reduction of scan time to below that of the projection-reconstruction (PR) method by reducing the number of “Cartesian radial” encoding directions, and (2) a good image quality by estimating missing and corrupted Cartesian samples. SRS-FT images reconstructed from FIDs are compared to conventional FT and PR images.</p></div>","PeriodicalId":16130,"journal":{"name":"Journal of Magnetic Resonance, Series B","volume":"112 2","pages":"Pages 119-123"},"PeriodicalIF":0.0000,"publicationDate":"1996-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/jmrb.1996.0121","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Magnetic Resonance, Series B","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1064186696901211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
A new 3D Fourier imaging method based on sparse radial scanning (SRS-FT) ofkspace is proposed. It allows acquisition of FIDs and is therefore well suited to imaging objects with very shortT2. Use of a Bayesian procedure allows (1) an important reduction of scan time to below that of the projection-reconstruction (PR) method by reducing the number of “Cartesian radial” encoding directions, and (2) a good image quality by estimating missing and corrupted Cartesian samples. SRS-FT images reconstructed from FIDs are compared to conventional FT and PR images.