Literature DB >> 24578189

On the accuracy of T1 mapping: searching for common ground.

Nikola Stikov1, Mathieu Boudreau, Ives R Levesque, Christine L Tardif, Joëlle K Barral, G Bruce Pike.   

Abstract

PURPOSE: There are many T1 mapping methods available, each of them validated in phantoms and reporting excellent agreement with literature. However, values in literature vary greatly, with T1 in white matter ranging from 690 to 1100 ms at 3 Tesla. This brings into question the accuracy of one of the most fundamental measurements in quantitative MRI. Our goal was to explain these variations and look into ways of mitigating them. THEORY AND METHODS: We evaluated the three most common T1 mapping methods (inversion recovery, Look-Locker, and variable flip angle) through Bloch simulations, a white matter phantom and the brains of 10 healthy subjects (single-slice). We pooled the T1 histograms of the subjects to determine whether there is a sequence-dependent bias and whether it is reproducible across subjects.
RESULTS: We found good agreement between the three methods in phantoms, but poor agreement in vivo, with the white matter T1 histogram peak in healthy subjects varying by more than 30% depending on the method used. We also found that the pooled brain histograms displayed three distinct white matter peaks, with Look-Locker consistently underestimating, and variable flip angle overestimating the inversion recovery T1 values. The Bloch simulations indicated that incomplete spoiling and inaccurate B1 mapping could account for the observed differences.
CONCLUSION: We conclude that the three most common T1 mapping protocols produce stable T1 values in phantoms, but not in vivo. To improve the accuracy of T1 mapping, we recommend that sites perform in vivo validation of their T1 mapping method against the inversion recovery reference method, as the first step toward developing a robust calibration scheme.
© 2014 Wiley Periodicals, Inc.

Keywords:  B1 mapping; Look-Locker; T1 mapping; accuracy; inversion recovery; precision; quantitative MRI; relaxometry; variable flip angle

Mesh:

Year:  2014        PMID: 24578189     DOI: 10.1002/mrm.25135

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  72 in total

1.  Magnetization transfer in magnetic resonance fingerprinting.

Authors:  Tom Hilbert; Ding Xia; Kai Tobias Block; Zidan Yu; Riccardo Lattanzi; Daniel K Sodickson; Tobias Kober; Martijn A Cloos
Journal:  Magn Reson Med       Date:  2019-11-25       Impact factor: 4.668

2.  To measure T1 of short T2 species using an inversion recovery prepared three-dimensional ultrashort echo time (3D IR-UTE) method: A phantom study.

Authors:  Zhao Wei; Ya-Jun Ma; Hyungseok Jang; Wenhui Yang; Jiang Du
Journal:  J Magn Reson       Date:  2020-04-13       Impact factor: 2.229

3.  Accurate T1 mapping of short T2 tissues using a three-dimensional ultrashort echo time cones actual flip angle imaging-variable repetition time (3D UTE-Cones AFI-VTR) method.

Authors:  Ya-Jun Ma; Xing Lu; Michael Carl; Yanchun Zhu; Nikolaus M Szeverenyi; Graeme M Bydder; Eric Y Chang; Jiang Du
Journal:  Magn Reson Med       Date:  2018-01-03       Impact factor: 4.668

4.  Contrast-enhanced 3T MR Perfusion of Musculoskeletal Tumours: T1 Value Heterogeneity Assessment and Evaluation of the Influence of T1 Estimation Methods on Quantitative Parameters.

Authors:  Pedro Augusto Gondim Teixeira; Christophe Leplat; Bailiang Chen; Jacques De Verbizier; Marine Beaumont; Sammy Badr; Anne Cotten; Alain Blum
Journal:  Eur Radiol       Date:  2017-06-14       Impact factor: 5.315

Review 5.  Inferring brain tissue composition and microstructure via MR relaxometry.

Authors:  Mark D Does
Journal:  Neuroimage       Date:  2018-01-02       Impact factor: 6.556

6.  MRI Mapping of Renal T1: Basic Concept.

Authors:  Stefanie J Hectors; Philippe Garteiser; Sabrina Doblas; Gwenaël Pagé; Bernard E Van Beers; John C Waterton; Octavia Bane
Journal:  Methods Mol Biol       Date:  2021

Review 7.  Studying neuroanatomy using MRI.

Authors:  Jason P Lerch; André J W van der Kouwe; Armin Raznahan; Tomáš Paus; Heidi Johansen-Berg; Karla L Miller; Stephen M Smith; Bruce Fischl; Stamatios N Sotiropoulos
Journal:  Nat Neurosci       Date:  2017-02-23       Impact factor: 24.884

8.  Magnetic resonance fingerprinting with quadratic RF phase for measurement of T2 * simultaneously with δf , T1 , and T2.

Authors:  Charlie Yi Wang; Simone Coppo; Bhairav Bipin Mehta; Nicole Seiberlich; Xin Yu; Mark Alan Griswold
Journal:  Magn Reson Med       Date:  2018-10-30       Impact factor: 4.668

9.  A new algebraic method for quantitative proton density mapping using multi-channel coil data.

Authors:  Dietmar Cordes; Zhengshi Yang; Xiaowei Zhuang; Karthik Sreenivasan; Virendra Mishra; Le H Hua
Journal:  Med Image Anal       Date:  2017-06-23       Impact factor: 8.545

10.  g-Ratio weighted imaging of the human spinal cord in vivo.

Authors:  T Duval; S Le Vy; N Stikov; J Campbell; A Mezer; T Witzel; B Keil; V Smith; L L Wald; E Klawiter; J Cohen-Adad
Journal:  Neuroimage       Date:  2016-09-22       Impact factor: 6.556

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