Literature DB >> 21279598

Magnetic resonance relaxation and quantitative measurement in the brain.

Sean C L Deoni1.   

Abstract

Underlying the exquisite soft tissue contrast provided by magnetic resonance imaging are the inherent biophysical processes of relaxation. Through the intricate relationships between tissue microstructure and biochemistry and the longitudinal and transverse relaxation rates, quantitative measurement of these relaxation parameters is informative of tissue change associated with disease, neural plasticity, and other biological processes. Quantitative imaging studies can further facilitate more detailed characterizations of tissue, providing a more direct link between modern MR imaging and classic histochemical and histological studies. In this chapter, we briefly review the biophysical basis of relaxation, introducing and focusing specifically on the T(1), T(2), and T(2)(*) relaxation times and detail some of the more widely used and clinically feasible techniques for their in vivo measurement. Methods for analyzing relaxation data are covered, and a summary of significant results from reported neuroimaging studies is provided. Finally, the combination of relaxation time data with other quantitative imaging data, including diffusion tensor and magnetization transfer, is examined, with the aim of providing more thorough characterization of brain tissue.

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Year:  2011        PMID: 21279598     DOI: 10.1007/978-1-61737-992-5_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  14 in total

Review 1.  Novel frontiers in ultra-structural and molecular MRI of the brain.

Authors:  Jeff H Duyn; Alan P Koretsky
Journal:  Curr Opin Neurol       Date:  2011-08       Impact factor: 5.710

2.  3D MR fingerprinting with accelerated stack-of-spirals and hybrid sliding-window and GRAPPA reconstruction.

Authors:  Congyu Liao; Berkin Bilgic; Mary Kate Manhard; Bo Zhao; Xiaozhi Cao; Jianhui Zhong; Lawrence L Wald; Kawin Setsompop
Journal:  Neuroimage       Date:  2017-08-24       Impact factor: 6.556

3.  Technical Note: Simultaneous segmentation and relaxometry for MRI through multitask learning.

Authors:  Peng Cao; Jing Liu; Shuyu Tang; Andrew P Leynes; Janine M Lupo; Duan Xu; Peder E Z Larson
Journal:  Med Phys       Date:  2019-08-31       Impact factor: 4.071

4.  Age-related changes in tissue signal properties within cortical areas important for word understanding in 12- to 19-month-old infants.

Authors:  Katherine E Travis; Megan M Curran; Christina Torres; Matthew K Leonard; Timothy T Brown; Anders M Dale; Jeffrey L Elman; Eric Halgren
Journal:  Cereb Cortex       Date:  2013-02-28       Impact factor: 5.357

5.  An investigation of regional cerebral blood flow and tissue structure changes after acute administration of antipsychotics in healthy male volunteers.

Authors:  Peter C T Hawkins; Tobias C Wood; Anthony C Vernon; Alessandro Bertolino; Fabio Sambataro; Juergen Dukart; Emilio Merlo-Pich; Celine Risterucci; Hanna Silber-Baumann; Eamonn Walsh; Ndabezinhle Mazibuko; Fernando O Zelaya; Mitul A Mehta
Journal:  Hum Brain Mapp       Date:  2017-10-23       Impact factor: 5.038

6.  Advanced MRI unravels the nature of tissue alterations in early multiple sclerosis.

Authors:  Guillaume Bonnier; Alexis Roche; David Romascano; Samanta Simioni; Djalel Meskaldji; David Rotzinger; Ying-Chia Lin; Gloria Menegaz; Myriam Schluep; Renaud Du Pasquier; Tilman Johannes Sumpf; Jens Frahm; Jean-Philippe Thiran; Gunnar Krueger; Cristina Granziera
Journal:  Ann Clin Transl Neurol       Date:  2014-06-03       Impact factor: 4.511

7.  Alterations of Myelin Content in Parkinson's Disease: A Cross-Sectional Neuroimaging Study.

Authors:  Douglas C Dean; Jitka Sojkova; Samuel Hurley; Steven Kecskemeti; Ozioma Okonkwo; Barbara B Bendlin; Frances Theisen; Sterling C Johnson; Andrew L Alexander; Catherine L Gallagher
Journal:  PLoS One       Date:  2016-10-05       Impact factor: 3.240

8.  A multi-contrast MRI study of microstructural brain damage in patients with mild cognitive impairment.

Authors:  C Granziera; A Daducci; A Donati; G Bonnier; D Romascano; A Roche; M Bach Cuadra; D Schmitter; S Klöppel; R Meuli; A von Gunten; G Krueger
Journal:  Neuroimage Clin       Date:  2015-06-20       Impact factor: 4.881

9.  Quantifying the local tissue volume and composition in individual brains with magnetic resonance imaging.

Authors:  Aviv Mezer; Jason D Yeatman; Nikola Stikov; Kendrick N Kay; Nam-Joon Cho; Robert F Dougherty; Michael L Perry; Josef Parvizi; Le H Hua; Kim Butts-Pauly; Brian A Wandell
Journal:  Nat Med       Date:  2013-11-03       Impact factor: 53.440

10.  The Combined Quantification and Interpretation of Multiple Quantitative Magnetic Resonance Imaging Metrics Enlightens Longitudinal Changes Compatible with Brain Repair in Relapsing-Remitting Multiple Sclerosis Patients.

Authors:  Guillaume Bonnier; Benedicte Maréchal; Mário João Fartaria; Pavel Falkowskiy; José P Marques; Samanta Simioni; Myriam Schluep; Renaud Du Pasquier; Jean-Philippe Thiran; Gunnar Krueger; Cristina Granziera
Journal:  Front Neurol       Date:  2017-09-27       Impact factor: 4.003

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