Literature DB >> 19859946

Characterizing healthy and diseased white matter using quantitative magnetization transfer and multicomponent T(2) relaxometry: A unified view via a four-pool model.

Ives R Levesque1, G Bruce Pike.   

Abstract

Nuclear magnetic resonance relaxation and magnetization transfer in cerebral white matter can be described using a four-pool model: two for water protons (in separate myelin and intra/extracellular compartments) and two for protons associated with the lipids and proteins of biologic membranes (of myelin and nonmyelin semisolids). This model was used to gain insight into the observations from multicomponent quantitative T(2) relaxometry and quantitative magnetization transfer imaging, both based on simplified white matter models and experimentally feasible in vivo. Using a set of coupled Bloch equations describing the behavior of the magnetization in a four-pool model of white matter, simulations of the quantitative T(2) relaxometry and quantitative magnetization transfer imaging techniques were performed. Pathology-inspired modifications were made to the four-pool model to gauge their impact on quantitative T(2) relaxometry and quantitative magnetization transfer imaging observations. Our results show that changes in the rate of water movement between microanatomic compartments may impact otherwise stable quantitative T(2) relaxometry observations; that the measure of the quantitative magnetization transfer imaging-based semisolid pool population is robust, despite the presence of two distinct semisolid components; and that quantitative magnetization transfer imaging compartment size estimates are not influenced by changes in the T(2) of the intra/extracellular water pool. The four-pool model, while impractical for in vivo characterization, yields important insight into the interpretation of changes observed with these quantitative MRI methods based on simplified models of white matter. (c) 2009 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2009        PMID: 19859946     DOI: 10.1002/mrm.22131

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  33 in total

1.  Analysis of White Matter Damage in Patients with Multiple Sclerosis via a Novel In Vivo MR Method for Measuring Myelin, Axons, and G-Ratio.

Authors:  A Hagiwara; M Hori; K Yokoyama; M Nakazawa; R Ueda; M Horita; C Andica; O Abe; S Aoki
Journal:  AJNR Am J Neuroradiol       Date:  2017-08-03       Impact factor: 3.825

2.  Quantitative MR imaging of two-pool magnetization transfer model parameters in myelin mutant shaking pup.

Authors:  Alexey Samsonov; Andrew L Alexander; Pouria Mossahebi; Yu-Chien Wu; Ian D Duncan; Aaron S Field
Journal:  Neuroimage       Date:  2012-06-01       Impact factor: 6.556

3.  Novel whole brain segmentation and volume estimation using quantitative MRI.

Authors:  J West; J B M Warntjes; P Lundberg
Journal:  Eur Radiol       Date:  2011-11-24       Impact factor: 5.315

4.  Gradient echo plural contrast imaging--signal model and derived contrasts: T2*, T1, phase, SWI, T1f, FST2*and T2*-SWI.

Authors:  Jie Luo; Bharathi D Jagadeesan; Anne H Cross; Dmitriy A Yablonskiy
Journal:  Neuroimage       Date:  2012-01-28       Impact factor: 6.556

5.  T₂* mapping and B₀ orientation-dependence at 7 T reveal cyto- and myeloarchitecture organization of the human cortex.

Authors:  J Cohen-Adad; J R Polimeni; K G Helmer; T Benner; J A McNab; L L Wald; B R Rosen; C Mainero
Journal:  Neuroimage       Date:  2012-01-15       Impact factor: 6.556

6.  Spectral characteristics of semisolid protons in human brain white matter at 7 T.

Authors:  Xu Jiang; Peter van Gelderen; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2017-02-02       Impact factor: 4.668

Review 7.  Inferring brain tissue composition and microstructure via MR relaxometry.

Authors:  Mark D Does
Journal:  Neuroimage       Date:  2018-01-02       Impact factor: 6.556

Review 8.  Modeling white matter microstructure.

Authors:  T Duval; N Stikov; J Cohen-Adad
Journal:  Funct Neurol       Date:  2016 Oct/Dec

9.  Myelin volume fraction imaging with MRI.

Authors:  Kathryn L West; Nathaniel D Kelm; Robert P Carson; Daniel F Gochberg; Kevin C Ess; Mark D Does
Journal:  Neuroimage       Date:  2016-12-23       Impact factor: 6.556

10.  Development and aging of superficial white matter myelin from young adulthood to old age: Mapping by vertex-based surface statistics (VBSS).

Authors:  Minjie Wu; Anand Kumar; Shaolin Yang
Journal:  Hum Brain Mapp       Date:  2016-03-09       Impact factor: 5.038

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.