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ABSTRACT: Purpose
In this work we demonstrate how sequence parameter settings influence the accuracy and precision in T1 , T2 , 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 T1 and T2 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.
SUBMITTER: Shcherbakova Y
PROVIDER: S-EPMC6585657 | biostudies-literature | 2019 Mar
REPOSITORIES: biostudies-literature
Shcherbakova Yulia Y van den Berg Cornelis A T CAT Moonen Chrit T W CTW Bartels Lambertus W LW
Magnetic resonance in medicine 20181010 3
<h4>Purpose</h4>In this work we demonstrate how sequence parameter settings influence the accuracy and precision in T<sub>1</sub> , T<sub>2</sub> , 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.<h4>Methods</h4>Numerical simulations were performed to investigate the influence of sequence parameter settings on the ...[more]