Three dimensional MRF obtains highly repeatable and reproducible multi-parametric estimations in the healthy human brain at 1.5T and 3T

Buonincontri, Guido; Kurzawski, Jan W.; Kaggie, Joshua D.; Matys, Tomasz; Gallagher, Ferdia A.; Cencini, Matteo; Donatelli, Graziella; Cecchi, Paolo; Cosottini, Mirco; Mondaini, Nicola; Frijia, Francesca; Montanaro, Domenico; Gómez, Pedro A.; Schulte, Rolf F.; Retico, Alessandra; Tosetti, Michela

doi:10.1016/j.neuroimage.2020.117573

Cited by 30 publications

(53 citation statements)

References 47 publications

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“…We first present and evaluate the 3D QTI method with its modular data processing pipeline. Accuracy and precision of acquisition and reconstruction elements of 3D QTI were evaluated in [ 18 , 21 , 32 ]. Focus of the work presented here is to assess the applicability of 3D QTI for clinical routine imaging in terms of reconstruction performance and image quality of the multiparametric maps.…”

Section: Resultssupporting

confidence: 94%

“…Due to the observed inter-subject consistency and stability of T1 and T2 values of healthy and diseased tissue, which is in line with previously performed repeatability studies [ 32 , 58 , 59 ], we believe that not only diagnosis but also treatment planning and monitoring as well as prognostic, longitudinal assessment might benefit from an integration of 3D QTI into standard clinical imaging.…”

Section: Discussionsupporting

confidence: 84%

“…A variety of advanced multiparametric relaxometry techniques [ 12 , 13 , 48 ], including the pioneering work on MR fingerprinting (MRF) [ 14 , 28 ], have been shown to offer fast, robust, and user-friendly quantitative MRI to be easily integrated into radiological practice. Its attractiveness in terms of scan times together with its high degree of repeatability [ 32 , 49 , 50 ] makes these techniques attractive candidates for providing relaxometry-based biomarkers in day-to-day brain tumor diagnosis.…”

Section: Discussionmentioning

confidence: 99%

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Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging

et al. 2021

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Purpose Advanced MRI-based biomarkers offer comprehensive and quantitative information for the evaluation and characterization of brain tumors. In this study, we report initial clinical experience in routine glioma imaging with a novel, fully 3D multiparametric quantitative transient-state imaging (QTI) method for tissue characterization based on T1 and T2 values. Methods To demonstrate the viability of the proposed 3D QTI technique, nine glioma patients (grade II–IV), with a variety of disease states and treatment histories, were included in this study. First, we investigated the feasibility of 3D QTI (6:25 min scan time) for its use in clinical routine imaging, focusing on image reconstruction, parameter estimation, and contrast-weighted image synthesis. Second, for an initial assessment of 3D QTI-based quantitative MR biomarkers, we performed a ROI-based analysis to characterize T1 and T2 components in tumor and peritumoral tissue. Results The 3D acquisition combined with a compressed sensing reconstruction and neural network-based parameter inference produced parametric maps with high isotropic resolution (1.125 × 1.125 × 1.125 mm3 voxel size) and whole-brain coverage (22.5 × 22.5 × 22.5 cm3 FOV), enabling the synthesis of clinically relevant T1-weighted, T2-weighted, and FLAIR contrasts without any extra scan time. Our study revealed increased T1 and T2 values in tumor and peritumoral regions compared to contralateral white matter, good agreement with healthy volunteer data, and high inter-subject consistency. Conclusion 3D QTI demonstrated comprehensive tissue assessment of tumor substructures captured in T1 and T2 parameters. Aiming for fast acquisition of quantitative MR biomarkers, 3D QTI has potential to improve disease characterization in brain tumor patients under tight clinical time-constraints.

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Section: Resultssupporting

confidence: 94%

Section: Discussionsupporting

confidence: 84%

Section: Discussionmentioning

confidence: 99%

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Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging

et al. 2021

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“…This work describes the use of a novel whole brain 3D MRF sequence [ 17 , 18 ] in differentiating F-NAWM and splenium in patients with MS based on relaxometry estimates. Given the highly reproducible and accurate information provided by MR relaxometry [ 22 , 23 ] the results of this study, and the isotropic whole brain coverage afforded by this technique, MRF has the potential for use in the diagnosis of patients with MS.…”

Section: Discussionmentioning

confidence: 99%

Whole brain 3D MR fingerprinting in multiple sclerosis: a pilot study

et al. 2021

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Background MR fingerprinting (MRF) is a novel imaging method proposed for the diagnosis of Multiple Sclerosis (MS). This study aims to determine if MR Fingerprinting (MRF) relaxometry can differentiate frontal normal appearing white matter (F-NAWM) and splenium in patients diagnosed with MS as compared to controls and to characterize the relaxometry of demyelinating plaques relative to the time of diagnosis. Methods Three-dimensional (3D) MRF data were acquired on a 3.0T MRI system resulting in isotropic voxels (1 × 1 × 1 mm3) and a total acquisition time of 4 min 38 s. Data were collected on 18 subjects paired with 18 controls. Regions of interest were drawn over MRF-derived T1 relaxometry maps encompassing selected MS lesions, F-NAWM and splenium. T1 and T2 relaxometry features from those segmented areas were used to classify MS lesions from F-NAWM and splenium with T-distributed stochastic neighbor embedding algorithms. Partial least squares discriminant analysis was performed to discriminate NAWM and Splenium in MS compared with controls. Results Mean out-of-fold machine learning prediction accuracy for discriminant results between MS patients and controls for F-NAWM was 65 % (p = 0.21) and approached 90 % (p < 0.01) for the splenium. There was significant positive correlation between time since diagnosis and MS lesions mean T2 (p = 0.015), minimum T1 (p = 0.03) and negative correlation with splenium uniformity (p = 0.04). Perfect discrimination (AUC = 1) was achieved between selected features from MS lesions and F-NAWM. Conclusions 3D-MRF has the ability to differentiate between MS and controls based on relaxometry properties from the F-NAWM and splenium. Whole brain coverage allows the assessment of quantitative properties within lesions that provide chronological assessment of the time from MS diagnosis.

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“…The coefficient of variation was not examined in that study, nor were the morphometric parameters from Freesurfer. A different manuscript featuring magnetic resonance fingerprinting approach did examine test-retest in a cohort of adult subjects scanned without a motion challenge and obtained a coefficient of variation of about 1.1% for R1 ( Buonincontri et al, 2021 ). However, since that approach included both cortical and subcortical gray matter, used twice as much spatial filtering of the relaxometry maps, and used a three-dimensional volumetric filtering versus two-dimensional surface based smoothing, direct comparisons are not possible.…”

Section: Discussionmentioning

confidence: 99%

FreeSurfer based cortical mapping and T1-relaxometry with MPnRAGE: Test-retest reliability with and without retrospective motion correction

et al. 2021

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A test-retest study of FreeSurfer derived cortical thickness, cortical surface area, and cortical volume, as well as quantitative R1 relaxometry assessed on the midpoint of the cortex, was performed on a cohort of pediatric subjects (6–12 years old) scanned without sedation using SNARE-MPnRAGE ( s elf na vigated re trospective motion corrected m agnetization p repared with n r apid g radient e choes) imaging. Reliability was assessed with coefficients of variation (CoVs) and intraclass correlation coefficients (ICCs) and statistical tests were used to determine differences with and without SNARE motion correction. Comparison of the test-retest measures of SNARE-MPnRAGE with prospectively motion corrected PROMO MPRAGE were also performed. When SNARE motion correction was used all parameters had statistically significant improvements and demonstrated high reliability. Reliability varied depending on parameter, region, and measurement type (vertex or region of interest). For mean thickness/surface area/volume/mean R1 across the regions of FreeSurfer’s DK Atlas, the mean CoVs (% x100) were (1.2/1.6/1.9/0.9) and the mean ICCs were (0.88/0.96/0.94/0.83). When assessed on a per-vertex basis, the CoVs and ICCs for thickness/R1 had mean values of (2.9/1.9) and (0.82/0.68) across the regions of the DK Atlas. Retrospectively motion corrected MPnRAGE had significantly lower CoVs and higher ICCs for the morphological measures than PROMO MPRAGE. Motion correction effectively removed motion related biases in nearly all regions for R1 and morphometric measures.

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Three dimensional MRF obtains highly repeatable and reproducible multi-parametric estimations in the healthy human brain at 1.5T and 3T

Cited by 30 publications

References 47 publications

Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging

Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging

Whole brain 3D MR fingerprinting in multiple sclerosis: a pilot study

FreeSurfer based cortical mapping and T1-relaxometry with MPnRAGE: Test-retest reliability with and without retrospective motion correction

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