Literature DB >> 30923028

Multi-site repeatability and reproducibility of MR fingerprinting of the healthy brain at 1.5 and 3.0 T.

Guido Buonincontri1, Laura Biagi1, Alessandra Retico2, Paolo Cecchi3, Mirco Cosottini3, Ferdia A Gallagher4, Pedro A Gómez5, Martin J Graves4, Mary A McLean6, Frank Riemer4, Rolf F Schulte7, Michela Tosetti8, Fulvio Zaccagna4, Joshua D Kaggie4.   

Abstract

Fully-quantitative MR imaging methods are useful for longitudinal characterization of disease and assessment of treatment efficacy. However, current quantitative MRI protocols have not been widely adopted in the clinic, mostly due to lengthy scan times. Magnetic Resonance Fingerprinting (MRF) is a new technique that can reconstruct multiple parametric maps from a single fast acquisition in the transient state of the MR signal. Due to the relative novelty of this technique, the repeatability and reproducibility of quantitative measurements obtained using MRF has not been extensively studied. Our study acquired test/retest data from the brains of nine healthy volunteers, each scanned on five MRI systems (two at 3.0 T and three at 1.5 T, all from a single vendor) located at two different centers. The pulse sequence and reconstruction algorithm were the same for all acquisitions. After registration of the MRF-derived M0, 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 an excellent repeatability (CVs of 2-3% for T1, 5-8% for T2, 3% for normalized-M0) and a good reproducibility (CVs of 3-8% for T1, 8-14% for T2, 5% for normalized-M0) in grey and white matter.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain; MR fingerprinting; MRI; Quantitation; Relaxometry

Mesh:

Year:  2019        PMID: 30923028     DOI: 10.1016/j.neuroimage.2019.03.047

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


  18 in total

Review 1.  Magnetic resonance fingerprinting: an overview.

Authors:  Charit Tippareddy; Walter Zhao; Jeffrey L Sunshine; Mark Griswold; Dan Ma; Chaitra Badve
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-05-26       Impact factor: 9.236

2.  Magnetic resonance fingerprinting of the pancreas at 1.5 T and 3.0 T.

Authors:  Eva M Serrao; Dimitri A Kessler; Bruno Carmo; Lucian Beer; Kevin M Brindle; Guido Buonincontri; Ferdia A Gallagher; Fiona J Gilbert; Edmund Godfrey; Martin J Graves; Mary A McLean; Evis Sala; Rolf F Schulte; Joshua D Kaggie
Journal:  Sci Rep       Date:  2020-10-16       Impact factor: 4.379

3.  Machine Learning for Rapid Magnetic Resonance Fingerprinting Tissue Property Quantification.

Authors:  Jesse I Hamilton; Nicole Seiberlich
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2019-09-11       Impact factor: 10.961

4.  Repeatability of MR fingerprinting in normal cervix and utility in cervical carcinoma.

Authors:  Mandi Wang; Jose A U Perucho; Peng Cao; Varut Vardhanabhuti; Di Cui; Yiang Wang; Pek-Lan Khong; Edward S Hui; Elaine Y P Lee
Journal:  Quant Imaging Med Surg       Date:  2021-09

5.  A longitudinal multi-scanner multimodal human neuroimaging dataset.

Authors:  Colin Hawco; Erin W Dickie; Gabrielle Herman; Jessica A Turner; Miklos Argyelan; Anil K Malhotra; Robert W Buchanan; Aristotle N Voineskos
Journal:  Sci Data       Date:  2022-06-14       Impact factor: 8.501

6.  Using magnetic resonance fingerprinting to characterize periventricular nodular heterotopias in pharmacoresistant epilepsy.

Authors:  Joon Yul Choi; Balu Krishnan; Siyuan Hu; David Martinez; Yinging Tang; Xiaofeng Wang; Ken Sakaie; Stephen Jones; Hiroatsu Murakami; Ingmar Blümcke; Imad Najm; Dan Ma; Zhong Irene Wang
Journal:  Epilepsia       Date:  2022-03-28       Impact factor: 6.740

7.  Quantitative imaging metrics derived from magnetic resonance fingerprinting using ISMRM/NIST MRI system phantom: An international multicenter repeatability and reproducibility study.

Authors:  Amaresha Shridhar Konar; Enlin Qian; Sairam Geethanath; Guido Buonincontri; Nancy A Obuchowski; Maggie Fung; Pedro Gomez; Rolf Schulte; Matteo Cencini; Michela Tosetti; Lawrence H Schwartz; Amita Shukla-Dave
Journal:  Med Phys       Date:  2021-04-01       Impact factor: 4.506

8.  Controlled saturation magnetization transfer for reproducible multivendor variable flip angle T1 and T2 mapping.

Authors:  Rui Pedro A G Teixeira; Radhouene Neji; Tobias C Wood; Ana A Baburamani; Shaihan J Malik; Joseph V Hajnal
Journal:  Magn Reson Med       Date:  2019-12-17       Impact factor: 3.737

9.  The effect of gadolinium-based contrast agent administration on magnetic resonance fingerprinting-based T1 relaxometry in patients with prostate cancer.

Authors:  Nikita Sushentsev; Joshua D Kaggie; Guido Buonincontri; Rolf F Schulte; Martin J Graves; Vincent J Gnanapragasam; Tristan Barrett
Journal:  Sci Rep       Date:  2020-11-24       Impact factor: 4.379

Review 10.  Magnetic resonance fingerprinting: from evolution to clinical applications.

Authors:  Jean J L Hsieh; Imants Svalbe
Journal:  J Med Radiat Sci       Date:  2020-06-28
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