Quantitative magnetization transfer imaging made easy with q<scp>MTL</scp>ab: Software for data simulation, analysis, and visualization

Cabana, Jean-François; Gu, Ye; Boudreau, Mathieu; Levesque, Ives R.; Atchia, Yaaseen; Sled, John G.; Narayanan, Sridar; Arnold, Douglas L.; Pike, G. Bruce; Cohen‐Adad, Julien; Duval, Tanguy; Vuong, Manh-Tung; Stikov, Nikola

doi:10.1002/cmr.a.21357

Cited by 48 publications

(52 citation statements)

References 27 publications

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“…In DTI, FA and λ ⊥ were estimated using a constrained non‐linear least‐square fitting process with a Cholesky decomposition correction . In qMTI, f was estimated using Sled and Pike's rectangular pulse (RP) model implemented in the qMTLab toolbox, with equal relaxation rates between the restricted and free pools R 1, r = R 1, f . B 1 , B 0 and T 1 values were provided, and the transverse relaxation constant of the restricted pool was fixed to 10 μ s for the entire dataset as it demonstrates a narrow range in tissues .…”

Section: Methodsmentioning

confidence: 99%

Correlations of quantitative MRI metrics with myelin basic protein (MBP) staining in a murine model of demyelination

et al. 2019

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Myelin imaging in the central nervous system is essential for monitoring pathologies involving white matter alterations. Various quantitative MRI protocols relying on the modeling of the interactions of water protons with myelinated tissues have shown sensitivities in case of myelin disruption. Some extracted model parameters are more sensitive to demyelination, such as the bound pool fraction (f) in quantitative magnetization transfer imaging (qMTI), the radial diffusivity in diffusion tensor imaging (DTI), and the myelin water fraction (MWF) in myelin water imaging (MWI). A 3D ultrashort echo time (UTE) sequence within an appropriate water suppression condition (Diff‐UTE) is also considered for the direct visualization of the myelin semi‐solid matrix (Diff‐UTE normalized signal; rSPF). In this paper, we aimed at assessing the sensitivities and correlations of the parameters mentioned above to an immuno‐histological study of the myelin basic protein (MBP) in a murine model of demyelination at 7 T. We demonstrated a high sensitivity of the MRI metrics to demyelination, and strong Spearman correlations in the corpus callosum between histology, macromolecular proton fraction (ρ>0.87) and Diff‐UTE signal (ρ>0.76), but moderate ones with radial diffusivity and MWF (|ρ|<0.70).

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Section: Methodsmentioning

confidence: 99%

Correlations of quantitative MRI metrics with myelin basic protein (MBP) staining in a murine model of demyelination

et al. 2019

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“…B 0 maps were acquired for off‐resonance frequency correction using a two‐point phase‐difference gradient measurement : TE1/TE2/TR = 4/8.48/25 ms, FA = 7°, 30 s scan time. qMT parameter maps were produced by fitting the normalized qMT data voxel‐wise using the Sled and Pike fitting model .…”

Section: Methodsmentioning

confidence: 99%

B₁‐sensitivity analysis of quantitative magnetization transfer imaging

Boudreau

Stikov

Pike

2017

Magnetic Resonance in Med

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Purpose: To evaluate the sensitivity of quantitative magnetization transfer (qMT) fitted parameters to B 1 inaccuracies, focusing on the difference between two categories of T 1 mapping techniques: B 1 -independent and B 1 -dependent. Methods: The B 1 -sensitivity of qMT was investigated and compared using two T 1 measurement methods: inversion recovery (IR) (B 1 -independent) and variable flip angle (VFA), B 1 -dependent). The study was separated into four stages: 1) numerical simulations, 2) sensitivity analysis of the Z-spectra, 3) healthy subjects at 3T, and 4) comparison using three different B 1 imaging techniques. Results: For typical B 1 variations in the brain at 3T (630%), the simulations resulted in errors of the pool-size ratio (F) ranging from À3% to 7% for VFA, and À40% to > 100% for IR, agreeing with the Z-spectra sensitivity analysis. In healthy subjects, pooled whole-brain Pearson correlation coefficients for F (comparing measured double angle and nominal flip angle B 1 maps) were q ¼ 0.97/0.81 for VFA/IR. Conclusion: This work describes the B 1 -sensitivity characteristics of qMT, demonstrating that it varies substantially on the B 1 -dependency of the T 1 mapping method. Particularly, the pool-size ratio is more robust against B 1 inaccuracies if VFA T 1 mapping is used, so much so that B 1 mapping could be omitted without substantially biasing F. Magn Reson Med 79:276-285,

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“…MT sat maps were calculated in MatLab (MathWorks, Natick, MA) using qMRLab, a publicly available software from NeuroPoly Lab in GitHub (https://github.com/neuropoly/qMRLab/releases). 18 The algorithm uses the S PD , S T1 , S MT image volumes to calculate MT sat (Eqs. [1][2][3][4].…”

Section: Mt Data Processingmentioning

confidence: 99%

Magnetization transfer saturation imaging of human calf muscle: Reproducibility and sensitivity to regional and sex differences

Romero

Sinha

2019

Magnetic Resonance Imaging

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Background Magnetization transfer saturation (MTsat) derives a semiquantitative index of magnetization transfer in faster acquisition times than quantitative magnetization transfer; the potential of MTsat for muscle imaging has not yet been explored. Purpose To evaluate the potential of MTsat to identify regional and sex differences in calf muscle. Study Type Prospective cohort study. Phantom/Subjects Vials with different agar and nickel nitrate concentrations providing a range of macromolecular fraction and T1. Seven male subjects (25 ± 7 years) and seven female subjects (28 ± 14 years); three subjects were scanned in three separate sessions to assess reproducibility. Field Strength/Sequence 3T, 3D fast low angle shot (FLASH) sequence with and without a magnetization transfer pulse; acquisition time of 4.12 minutes. Assessment The effectiveness of two methods of fat suppression was evaluated using the fat unsuppressed sequence as the reference and MTsat maps derived with and without transmit field inhomogeneity corrections were compared. Statistical evaluation of MTsat differences between calf muscles and between male and female cohorts was made. Statistical Tests Bland–Altman plots were used to assess fat suppression and B1+ correction. The coefficient of variation (CV) and the repeatability coefficient (RC) were calculated from the repeat sessions. Sex and regional differences were assessed using two‐way factorial analyses of variance (ANOVAs) with Bonferroni‐adjusted independent sample t‐tests for post‐hoc analyses. Results In phantoms, MTsat increased linearly with agar concentration and MTsat was independent of T1 (P = 0.229) evaluated in phantoms with two T1s. The CV and RC of MTsat ranged between 2.65 to 5.03% and 0.13 to 0.38, respectively, in the different calf muscles. MTsat of the tibialis anterior was significantly higher than other muscles (P < 0.05). MTsat in male subjects was significantly higher than in female subjects (P = 0.009). Data Conclusion MTsat maps of calf muscle acquired under 5 minutes may have the potential to detect regional and sex differences. Level of Evidence: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:1227–1237.

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Quantitative magnetization transfer imaging made easy with qMTLab: Software for data simulation, analysis, and visualization

Cited by 48 publications

References 27 publications

Correlations of quantitative MRI metrics with myelin basic protein (MBP) staining in a murine model of demyelination

Correlations of quantitative MRI metrics with myelin basic protein (MBP) staining in a murine model of demyelination

B₁‐sensitivity analysis of quantitative magnetization transfer imaging

Magnetization transfer saturation imaging of human calf muscle: Reproducibility and sensitivity to regional and sex differences

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Quantitative magnetization transfer imaging made easy with qMTLab: Software for data simulation, analysis, and visualization

Cited by 48 publications

References 27 publications

Correlations of quantitative MRI metrics with myelin basic protein (MBP) staining in a murine model of demyelination

Correlations of quantitative MRI metrics with myelin basic protein (MBP) staining in a murine model of demyelination

B1‐sensitivity analysis of quantitative magnetization transfer imaging

Magnetization transfer saturation imaging of human calf muscle: Reproducibility and sensitivity to regional and sex differences

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B₁‐sensitivity analysis of quantitative magnetization transfer imaging