Literature DB >> 27271991

Simulations on the influence of myelin water in diffusion-weighted imaging.

K D Harkins1, M D Does.   

Abstract

While myelinated axons present an important barrier to water diffusion, many models used to interpret DWI signal neglect other potential influences of myelin. In this work, Monte Carlo simulations were used to test the sensitivity of DWI results to the diffusive properties of water within myelin. Within these simulations, the apparent diffusion coefficient (D app) varied slowly over several orders of magnitude of the coefficient of myelin water diffusion (D m), but exhibited important differences compared to D app values simulated that neglect D m (=0). Compared to D app, the apparent diffusion kurtosis (K app) was generally more sensitive to D m. Simulations also tested the sensitivity of D app and K app to the amount of myelin present. Unique variations in D app and K app caused by differences in the myelin volume fraction were diminished when myelin water diffusion was included. Also, expected trends in D app and K app with experimental echo time were reduced or inverted when accounting for myelin water diffusion, and these reduced/inverted trends were seen experimentally in ex vivo rat brain DWI experiments. In general, myelin water has the potential to subtly influence DWI results and bias models of DWI that neglect these components of white matter.

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Year:  2016        PMID: 27271991      PMCID: PMC4928706          DOI: 10.1088/0031-9155/61/13/4729

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  53 in total

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Authors:  R S Menon; M S Rusinko; P S Allen
Journal:  Magn Reson Med       Date:  1992-12       Impact factor: 4.668

2.  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

3.  Effects of echo time on diffusion quantification of brain white matter at 1.5 T and 3.0 T.

Authors:  Wen Qin; Chun Shui Yu; Fan Zhang; Xiang Ying Du; Heng Jiang; Yu Xia Yan; Kun Cheng Li
Journal:  Magn Reson Med       Date:  2009-04       Impact factor: 4.668

4.  A general framework for experiment design in diffusion MRI and its application in measuring direct tissue-microstructure features.

Authors:  Daniel C Alexander
Journal:  Magn Reson Med       Date:  2008-08       Impact factor: 4.668

5.  Assignment of the T(2) components of amphibian peripheral nerve to their microanatomical compartments.

Authors:  Keith Wachowicz; Richard E Snyder
Journal:  Magn Reson Med       Date:  2002-02       Impact factor: 4.668

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Authors:  G J Stanisz; R M Henkelman
Journal:  Magn Reson Med       Date:  1998-09       Impact factor: 4.668

7.  Apparent diffusion coefficients in benign and secondary progressive multiple sclerosis by nuclear magnetic resonance.

Authors:  M A Horsfield; M Lai; S L Webb; G J Barker; P S Tofts; R Turner; P Rudge; D H Miller
Journal:  Magn Reson Med       Date:  1996-09       Impact factor: 4.668

8.  Axon diameter and myelin sheath thickness in nerve fibres of the ventral spinal root of the seventh lumbar nerve of the adult and developing cat.

Authors:  C H Berthold; I Nilsson; M Rydmark
Journal:  J Anat       Date:  1983-05       Impact factor: 2.610

9.  Compartmental study of diffusion and relaxation measured in vivo in normal and ischemic rat brain and trigeminal nerve.

Authors:  M D Does; J C Gore
Journal:  Magn Reson Med       Date:  2000-06       Impact factor: 4.668

10.  Oestrogen receptor beta ligand: a novel treatment to enhance endogenous functional remyelination.

Authors:  Daniel K Crawford; Mario Mangiardi; Bingbing Song; Rhusheet Patel; Sienmi Du; Michael V Sofroniew; Rhonda R Voskuhl; Seema K Tiwari-Woodruff
Journal:  Brain       Date:  2010-09-21       Impact factor: 13.501

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  8 in total

Review 1.  Challenges in diffusion MRI tractography - Lessons learned from international benchmark competitions.

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Journal:  Magn Reson Imaging       Date:  2018-11-29       Impact factor: 2.546

2.  White matter intercompartmental water exchange rates determined from detailed modeling of the myelin sheath.

Authors:  Peter van Gelderen; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2018-09-19       Impact factor: 4.668

Review 3.  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

4.  Towards microstructure fingerprinting: Estimation of tissue properties from a dictionary of Monte Carlo diffusion MRI simulations.

Authors:  Gaëtan Rensonnet; Benoît Scherrer; Gabriel Girard; Aleksandar Jankovski; Simon K Warfield; Benoît Macq; Jean-Philippe Thiran; Maxime Taquet
Journal:  Neuroimage       Date:  2018-09-30       Impact factor: 6.556

5.  T2 relaxation time of the normal-appearing white matter is related to the cognitive status in cerebral small vessel disease.

Authors:  Annemarie Brandhofe; Christoph Stratmann; Jan-Rüdiger Schüre; Ulrich Pilatus; Elke Hattingen; Ralf Deichmann; Ulrike Nöth; Marlies Wagner; René-Maxime Gracien; Alexander Seiler
Journal:  J Cereb Blood Flow Metab       Date:  2020-12-16       Impact factor: 6.200

6.  Realistic Microstructure Simulator (RMS): Monte Carlo simulations of diffusion in three-dimensional cell segmentations of microscopy images.

Authors:  Hong-Hsi Lee; Els Fieremans; Dmitry S Novikov
Journal:  J Neurosci Methods       Date:  2020-12-03       Impact factor: 2.390

7.  Diffusional kurtosis imaging and white matter microstructure modeling in a clinical study of major depressive disorder.

Authors:  Kouhei Kamiya; Naohiro Okada; Kingo Sawada; Yusuke Watanabe; Ryusuke Irie; Shouhei Hanaoka; Yuichi Suzuki; Shinsuke Koike; Harushi Mori; Akira Kunimatsu; Masaaki Hori; Shigeki Aoki; Kiyoto Kasai; Osamu Abe
Journal:  NMR Biomed       Date:  2018-05-30       Impact factor: 4.044

8.  A simple estimate of axon size with diffusion MRI.

Authors:  Kevin D Harkins; Christian Beaulieu; Junzhong Xu; John C Gore; Mark D Does
Journal:  Neuroimage       Date:  2020-12-08       Impact factor: 6.556

  8 in total

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