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Processing of radial fast spin‐echo data for obtaining T 2 estimates from a single k‐space data set
Author(s) -
Altbach Maria I.,
Bilgin Ali,
Li Zhiqiang,
Clarkson Eric W.,
Trouard Theodore P.,
Gmitro Arthur F.
Publication year - 2005
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.20611
Subject(s) - echo (communications protocol) , k space , data set , set (abstract data type) , nuclear magnetic resonance , space (punctuation) , physics , fast spin echo , spin (aerodynamics) , computer science , artificial intelligence , magnetic resonance imaging , quantum mechanics , programming language , operating system , computer network , fourier transform , medicine , thermodynamics , radiology
Radially acquired fast spin‐echo data can be processed to obtain T 2 ‐weighted images and a T 2 map from a single k ‐space data set. The general approach is to use data at a specific TE (or narrow TE range) in the center of k ‐space and data at other TE values in the outer part of k ‐space. With this method high‐resolution T 2 ‐weighted images and T 2 maps are obtained in a time efficient manner. The mixing of TE data, however, introduces errors in the T 2 ‐weighted images and T 2 maps that affect the accuracy of the T 2 estimates. In this work, various k ‐space data processing methods for reconstructing T 2 ‐weighted images and T 2 maps from a single radial fast spin‐echo k ‐space data set are analyzed in terms of the accuracy of T 2 estimates. The analysis is focused on the effect of image artifacts, object dependency, and noise on the T 2 estimates. Results are presented in computer‐generated phantoms and in vivo. Magn Reson Med, 2005. © 2005 Wiley‐Liss, Inc.