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On the accuracy and precision of PLANET for multiparametric MRI using phase‐cycled bSSFP imaging
Author(s) -
Shcherbakova Yulia,
van den Berg Cornelis A. T.,
Moonen Chrit T. W.,
Bartels Lambertus W.
Publication year - 2019
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.27491
Subject(s) - accuracy and precision , component (thermodynamics) , signal (programming language) , estimation theory , imaging phantom , relaxation (psychology) , range (aeronautics) , algorithm , ringing , sequence (biology) , computer science , physics , mathematics , statistics , artificial intelligence , optics , materials science , chemistry , psychology , social psychology , composite material , thermodynamics , programming language , enhanced data rates for gsm evolution , biochemistry
Purpose In this work we demonstrate how sequence parameter settings influence the accuracy and precision in T 1 , T 2 , and off‐resonance maps obtained with the PLANET method for a single‐component signal model. In addition, the performance of the method for the particular case of a two‐component relaxation model for white matter tissue was assessed. Methods Numerical simulations were performed to investigate the influence of sequence parameter settings on the accuracy and precision in the estimated parameters for a single‐component model, as well as for a two‐component white matter model. Phantom and in vivo experiments were performed for validation. In addition, the effects of Gibbs ringing were investigated. Results By making a proper choice for sequence parameter settings, accurate and precise parameter estimation can be achieved for a single‐component signal model over a wide range of relaxation times at realistic SNR levels. Due to the presence of a second myelin‐related signal component in white matter, an underestimation of approximately 30% in T 1 and T 2 was observed, predicted by simulations and confirmed by measurements. Gibbs ringing artifacts correction improved the precision and accuracy of the parameter estimates. Conclusion For a single‐component signal model there is a broad “sweet spot” of sequence parameter combinations for which a high accuracy and precision in the parameter estimates is achieved over a wide range of relaxation times. For a multicomponent signal model, the single‐component PLANET reconstruction results in systematic errors in the parameter estimates as expected.