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Estimating T 1 from multichannel variable flip angle SPGR sequences
Author(s) -
Trzasko Joshua D.,
Mostardi Petrice M.,
Riederer Stephen J.,
Manduca Armando
Publication year - 2013
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.24401
Subject(s) - flip angle , computer science , variable (mathematics) , algorithm , task (project management) , exponential function , sequence (biology) , artificial intelligence , mathematics , magnetic resonance imaging , medicine , mathematical analysis , genetics , management , biology , economics , radiology
Quantitative estimation of T 1 is a challenging but important task inherent to many clinical applications. The most commonly used paradigm for estimating T 1 in vivo involves performing a sequence of spoiled gradient‐recalled echo acquisitions at different flip angles, followed by fitting of an exponential model to the data. Although there has been substantial work comparing different fitting methods, there has been little discussion on how these methods should be applied for data acquired using multichannel receivers. In this note, we demonstrate that the manner in which multichannel data is handled can have a substantial impact on T 1 estimation performance and should be considered equally as important as choice of flip angles or fitting strategy. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc.