Literature DB >> 33221451

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

Guido Buonincontri1, Jan W Kurzawski2, Joshua D Kaggie3, Tomasz Matys3, Ferdia A Gallagher3, Matteo Cencini1, Graziella Donatelli4, Paolo Cecchi5, Mirco Cosottini6, Nicola Martini7, Francesca Frijia7, Domenico Montanaro8, Pedro A Gómez9, Rolf F Schulte10, Alessandra Retico11, Michela Tosetti12.   

Abstract

Magnetic resonance fingerprinting (MRF) is highly promising as a quantitative MRI technique due to its accuracy, robustness, and efficiency. Previous studies have found high repeatability and reproducibility of 2D MRF acquisitions in the brain. Here, we have extended our investigations to 3D MRF acquisitions covering the whole brain using spiral projection k-space trajectories. Our travelling head study acquired test/retest data from the brains of 12 healthy volunteers and 8 MRI systems (3 systems at 3 T and 5 at 1.5 T, all from a single vendor), using a study design not requiring all subjects to be scanned at all sites. The pulse sequence and reconstruction algorithm were the same for all acquisitions. After registration of the MRF-derived PD T1 and T2 maps to an anatomical atlas, coefficients of variation (CVs) were computed to assess test/retest repeatability and inter-site reproducibility in each voxel, while a General Linear Model (GLM) was used to determine the voxel-wise variability between all confounders, which included test/retest, subject, field strength and site. Our analysis demonstrated a high repeatability (CVs 0.7-1.3% for T1, 2.0-7.8% for T2, 1.4-2.5% for normalized PD) and reproducibility (CVs of 2.0-5.8% for T1, 7.4-10.2% for T2, 5.2-9.2% for normalized PD) in gray and white matter. Both repeatability and reproducibility improved when compared to similar experiments using 2D acquisitions. Three-dimensional MRF obtains highly repeatable and reproducible estimations of T1 and T2, supporting the translation of MRF-based fast quantitative imaging into clinical applications.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  3D; Brain; MR fingerprinting; MRI; Quantitation; Relaxometry; Three dimensional

Year:  2020        PMID: 33221451     DOI: 10.1016/j.neuroimage.2020.117573

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  6 in total

1.  Three-dimensional high-resolution T1 and T2 mapping of whole macaque brain at 9.4 T using magnetic resonance fingerprinting.

Authors:  Yuning Gu; Lulu Wang; Hongyi Yang; Yun Wu; Kihwan Kim; Yuran Zhu; Charlie Androjna; Xiaofeng Zhu; Yong Chen; Kai Zhong; Xin Yu
Journal:  Magn Reson Med       Date:  2022-02-07       Impact factor: 4.668

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

Authors:  Thomaz R Mostardeiro; Ananya Panda; Norbert G Campeau; Robert J Witte; Nicholas B Larson; Yi Sui; Aiming Lu; Kiaran P McGee
Journal:  BMC Med Imaging       Date:  2021-05-22       Impact factor: 1.930

3.  Repeatability of tumor perfusion kinetics from dynamic contrast-enhanced MRI in glioblastoma.

Authors:  Ryan T Woodall; Prativa Sahoo; Yujie Cui; Bihong T Chen; Mark S Shiroishi; Cristina Lavini; Paul Frankel; Margarita Gutova; Christine E Brown; Jennifer M Munson; Russell C Rockne
Journal:  Neurooncol Adv       Date:  2021-11-22

4.  Repeatability of simultaneous 3D 1H MRF/23Na MRI in brain at 7 T.

Authors:  Gonzalo G Rodriguez; Zidan Yu; Lauren F O Donnell; Liz Calderon; Martijn A Cloos; Guillaume Madelin
Journal:  Sci Rep       Date:  2022-08-19       Impact factor: 4.996

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

Authors:  Bjoern H Menze; Marion I Menzel; Juan A Hernandez-Tamames; Carolin M Pirkl; Laura Nunez-Gonzalez; Florian Kofler; Sebastian Endt; Lioba Grundl; Mohammad Golbabaee; Pedro A Gómez; Matteo Cencini; Guido Buonincontri; Rolf F Schulte; Marion Smits; Benedikt Wiestler
Journal:  Neuroradiology       Date:  2021-04-09       Impact factor: 2.804

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

Authors:  Steven Kecskemeti; Abigail Freeman; Brittany G Travers; Andrew L Alexander
Journal:  Neuroimage       Date:  2021-08-03       Impact factor: 6.556

  6 in total

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