Literature DB >> 29305163

Inferring brain tissue composition and microstructure via MR relaxometry.

Mark D Does1.   

Abstract

MRI relaxometry is sensitive to a variety of tissue characteristics in a complex manner, which makes it both attractive and challenging for characterizing tissue. This article reviews the most common water proton relaxometry measures, T1, T2, and T2*, and reports on their development and current potential to probe the composition and microstructure of brain tissue. The development of these relaxometry measures is challenged by the need for suitably accurate tissue models, as well as robust acquisition and analysis methodologies. MRI relaxometry has been established as a tool for characterizing neural tissue, particular with respect to myelination, and the potential for further development exists.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  MRI; Microstructure; Myelin; Relaxometry

Mesh:

Year:  2018        PMID: 29305163      PMCID: PMC6028317          DOI: 10.1016/j.neuroimage.2017.12.087

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


  163 in total

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Journal:  Magn Reson Med       Date:  1992-12       Impact factor: 4.668

3.  In vivo multi-slice mapping of myelin water content using T2* decay.

Authors:  Dosik Hwang; Dong-Hyun Kim; Yiping P Du
Journal:  Neuroimage       Date:  2010-04-14       Impact factor: 6.556

4.  Diffusion of myelin water.

Authors:  Trevor J Andrews; Michael T Osborne; Mark D Does
Journal:  Magn Reson Med       Date:  2006-08       Impact factor: 4.668

5.  Longitudinal changes in myelin water fraction in two MS patients with active disease.

Authors:  I M Vavasour; C Laule; D K B Li; J Oger; G R W Moore; A Traboulsee; A L MacKay
Journal:  J Neurol Sci       Date:  2008-09-25       Impact factor: 3.181

6.  Quantitative magnetization transfer imaging in human brain at 3 T via selective inversion recovery.

Authors:  Richard D Dortch; Ke Li; Daniel F Gochberg; E Brian Welch; Adrienne N Dula; Ashish A Tamhane; John C Gore; Seth A Smith
Journal:  Magn Reson Med       Date:  2011-05-23       Impact factor: 4.668

7.  Multiecho imaging with suboptimal spoiler gradients.

Authors:  M D Does; R E Snyder
Journal:  J Magn Reson       Date:  1998-03       Impact factor: 2.229

8.  Comparison of myelin water fraction from multiecho T2 decay curve and steady-state methods.

Authors:  Jing Zhang; Shannon H Kolind; Cornelia Laule; Alex L MacKay
Journal:  Magn Reson Med       Date:  2014-02-11       Impact factor: 4.668

9.  Quantitative magnetization transfer imaging of human brain at 7 T.

Authors:  Richard D Dortch; Jay Moore; Ke Li; Marcin Jankiewicz; Daniel F Gochberg; Jane A Hirtle; John C Gore; Seth A Smith
Journal:  Neuroimage       Date:  2012-08-23       Impact factor: 6.556

10.  Magnetic resonance fingerprinting.

Authors:  Dan Ma; Vikas Gulani; Nicole Seiberlich; Kecheng Liu; Jeffrey L Sunshine; Jeffrey L Duerk; Mark A Griswold
Journal:  Nature       Date:  2013-03-14       Impact factor: 49.962

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  34 in total

Review 1.  Transverse NMR relaxation in biological tissues.

Authors:  Valerij G Kiselev; Dmitry S Novikov
Journal:  Neuroimage       Date:  2018-06-07       Impact factor: 6.556

2.  Multidimensional correlation spectroscopic imaging of exponential decays: From theoretical principles to in vivo human applications.

Authors:  Daeun Kim; Jessica L Wisnowski; Christopher T Nguyen; Justin P Haldar
Journal:  NMR Biomed       Date:  2020-01-07       Impact factor: 4.044

3.  Brain tissue volumes and relaxation rates in multiple sclerosis: implications for cognitive impairment.

Authors:  Rosario Megna; Bruno Alfano; Roberta Lanzillo; Teresa Costabile; Marco Comerci; Giovanni Vacca; Antonio Carotenuto; Marcello Moccia; Giuseppe Servillo; Anna Prinster; Vincenzo Brescia Morra; Mario Quarantelli
Journal:  J Neurol       Date:  2018-11-29       Impact factor: 4.849

Review 4.  Physical and numerical phantoms for the validation of brain microstructural MRI: A cookbook.

Authors:  Els Fieremans; Hong-Hsi Lee
Journal:  Neuroimage       Date:  2018-06-18       Impact factor: 6.556

5.  Triple diffusion encoding MRI predicts intra-axonal and extra-axonal diffusion tensors in white matter.

Authors:  Sudhir Ramanna; Hunter G Moss; Emilie T McKinnon; Essa Yacoub; Joseph A Helpern; Jens H Jensen
Journal:  Magn Reson Med       Date:  2019-11-25       Impact factor: 4.668

6.  Magnetic resonance biomarkers in radiation oncology: The report of AAPM Task Group 294.

Authors:  Kiaran P McGee; Ken-Pin Hwang; Daniel C Sullivan; John Kurhanewicz; Yanle Hu; Jihong Wang; Wen Li; Josef Debbins; Eric Paulson; Jeffrey R Olsen; Chia-Ho Hua; Lizette Warner; Daniel Ma; Eduardo Moros; Neelam Tyagi; Caroline Chung
Journal:  Med Phys       Date:  2021-05-20       Impact factor: 4.071

Review 7.  The present and the future of microstructure MRI: From a paradigm shift to normal science.

Authors:  Dmitry S Novikov
Journal:  J Neurosci Methods       Date:  2020-10-21       Impact factor: 2.390

8.  Associations between brain volumetry and relaxometry signatures and the Edmonton Frail Scale in frailty.

Authors:  Chunmei Li; Yuhui Chen; Pu-Yeh Wu; Bing Wu; Tao Gong; Hua Wang; Min Chen
Journal:  Quant Imaging Med Surg       Date:  2021-06

9.  Measuring intra-axonal T2 in white matter with direction-averaged diffusion MRI.

Authors:  Emilie T McKinnon; Jens H Jensen
Journal:  Magn Reson Med       Date:  2018-12-02       Impact factor: 4.668

10.  Microstructure of Human Corpus Callosum across the Lifespan: Regional Variations in Axon Caliber, Density, and Myelin Content.

Authors:  Jonathan D Lynn; Chaitali Anand; Muzamil Arshad; Roya Homayouni; David R Rosenberg; Noa Ofen; Naftali Raz; Jeffrey A Stanley
Journal:  Cereb Cortex       Date:  2021-01-05       Impact factor: 5.357

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