Literature DB >> 21029782

Fast bound pool fraction imaging of the in vivo rat brain: association with myelin content and validation in the C6 glioma model.

Hunter R Underhill1, Robert C Rostomily, Andrei M Mikheev, Chun Yuan, Vasily L Yarnykh.   

Abstract

Cross-relaxation imaging (CRI) is a quantitative magnetic resonance technique that measures the kinetic parameters of magnetization transfer between protons bound to water and protons bound to macromolecules. In this study, in vivo, four-parameter CRI of normal rat brains (N=5) at 3.0 T was first directly compared to histology. The bound pool fraction, f, was strongly associated with myelin density (Pearson's r=0.99, p<0.001). The correlation persisted in separate analyses of gray matter (GM; r=0.89, p=0.046) and white matter (WM; r=0.97, p=0.029). Subsequently, a new time-efficient approach for solely capturing the whole-brain parametric map of f was proposed, validated with histology, and used to estimate myelin density. Since the described approach for the rapid acquisition of f applied constraints to other CRI parameters, a theoretical analysis of error was performed. Estimates of f in normal and pathologic tissue were expected to have <10% error. A comparison of values for f obtained from the traditional four-parameter fit of CRI data versus the proposed rapid acquisition of f was within this expected margin for in vivo rat brain gliomas (N=4; mean±SE; 3.9±0.2% vs. 4.0±0.2%, respectively). In both whole-brain f maps and myelin density maps, replacement of normal GM and WM by proliferating and invading tumor cells could be readily identified. The rapid, whole-brain acquisition of the bound pool fraction may provide a reliable method for detection of glioma invasion in both GM and WM during animal and human imaging.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21029782      PMCID: PMC3008309          DOI: 10.1016/j.neuroimage.2010.10.065

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


  52 in total

1.  Quantitative MRI-pathology correlations of brain white matter lesions developing in a non-human primate model of multiple sclerosis.

Authors:  Erwin L A Blezer; Jan Bauer; Herbert P M Brok; Klaas Nicolay; Bert A 't Hart
Journal:  NMR Biomed       Date:  2007-04       Impact factor: 4.044

2.  Characterization of the NMR behavior of white matter in bovine brain.

Authors:  T A Bjarnason; I M Vavasour; C L L Chia; A L MacKay
Journal:  Magn Reson Med       Date:  2005-11       Impact factor: 4.668

3.  Quantitative magnetization transfer by trains of radio frequency pulses in human brain: extension of a free evolution model to continuous-wave-like conditions.

Authors:  Gunther Helms; Andreas Piringer
Journal:  Magn Reson Imaging       Date:  2005-07       Impact factor: 2.546

4.  MR properties of excised neural tissue following experimentally induced demyelination.

Authors:  Ewa E Odrobina; Toby Y J Lam; Teresa Pun; Rajiv Midha; Greg J Stanisz
Journal:  NMR Biomed       Date:  2005-08       Impact factor: 4.044

5.  T1, T2 relaxation and magnetization transfer in tissue at 3T.

Authors:  Greg J Stanisz; Ewa E Odrobina; Joseph Pun; Michael Escaravage; Simon J Graham; Michael J Bronskill; R Mark Henkelman
Journal:  Magn Reson Med       Date:  2005-09       Impact factor: 4.668

6.  Actual flip-angle imaging in the pulsed steady state: a method for rapid three-dimensional mapping of the transmitted radiofrequency field.

Authors:  Vasily L Yarnykh
Journal:  Magn Reson Med       Date:  2007-01       Impact factor: 4.668

7.  Insights into brain microstructure from the T2 distribution.

Authors:  Alex MacKay; Cornelia Laule; Irene Vavasour; Thorarin Bjarnason; Shannon Kolind; Burkhard Mädler
Journal:  Magn Reson Imaging       Date:  2006-03-20       Impact factor: 2.546

Review 8.  Magnetization transfer imaging in multiple sclerosis.

Authors:  Mark A Horsfield
Journal:  J Neuroimaging       Date:  2005       Impact factor: 2.486

9.  Quantitative magnetization transfer imaging in postmortem multiple sclerosis brain.

Authors:  Klaus Schmierer; Daniel J Tozer; Francesco Scaravilli; Daniel R Altmann; Gareth J Barker; Paul S Tofts; David H Miller
Journal:  J Magn Reson Imaging       Date:  2007-07       Impact factor: 4.813

10.  Correlation of apparent myelin measures obtained in multiple sclerosis patients and controls from magnetization transfer and multicompartmental T2 analysis.

Authors:  D J Tozer; G R Davies; D R Altmann; D H Miller; P S Tofts
Journal:  Magn Reson Med       Date:  2005-06       Impact factor: 4.668

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  65 in total

1.  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

2.  Removal of cerebrospinal fluid partial volume effects in quantitative magnetization transfer imaging using a three-pool model with nonexchanging water component.

Authors:  Pouria Mossahebi; Andrew L Alexander; Aaron S Field; Alexey A Samsonov
Journal:  Magn Reson Med       Date:  2014-11-13       Impact factor: 4.668

3.  Differentiation and quantification of inflammation, demyelination and axon injury or loss in multiple sclerosis.

Authors:  Yong Wang; Peng Sun; Qing Wang; Kathryn Trinkaus; Robert E Schmidt; Robert T Naismith; Anne H Cross; Sheng-Kwei Song
Journal:  Brain       Date:  2015-02-26       Impact factor: 13.501

4.  A rapid approach for quantitative magnetization transfer imaging in thigh muscles using the pulsed saturation method.

Authors:  Ke Li; Richard D Dortch; Susan F Kroop; Joseph W Huston; Daniel F Gochberg; Jane H Park; Bruce M Damon
Journal:  Magn Reson Imaging       Date:  2015-04-01       Impact factor: 2.546

5.  MRI relaxation in the presence of fictitious fields correlates with myelin content in normal rat brain.

Authors:  Hanne Hakkarainen; Alejandra Sierra; Silvia Mangia; Michael Garwood; Shalom Michaeli; Olli Gröhn; Timo Liimatainen
Journal:  Magn Reson Med       Date:  2015-02-03       Impact factor: 4.668

6.  A continuous-infusion dynamic MRI model at 3.0 Tesla for the serial quantitative evaluation of microvascular proliferation in an animal model of glioblastoma multiforme.

Authors:  Hunter R Underhill
Journal:  Magn Reson Med       Date:  2017-01-12       Impact factor: 4.668

7.  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

8.  Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease.

Authors:  Bruce M Damon; Ke Li; Richard D Dortch; E Brian Welch; Jane H Park; Amanda K W Buck; Theodore F Towse; Mark D Does; Daniel F Gochberg; Nathan D Bryant
Journal:  J Vis Exp       Date:  2016-12-18       Impact factor: 1.355

9.  Rapid and quantitative chemical exchange saturation transfer (CEST) imaging with magnetic resonance fingerprinting (MRF).

Authors:  Ouri Cohen; Shuning Huang; Michael T McMahon; Matthew S Rosen; Christian T Farrar
Journal:  Magn Reson Med       Date:  2018-05-13       Impact factor: 4.668

10.  Analysis and correction of biases in cross-relaxation MRI due to biexponential longitudinal relaxation.

Authors:  Pouria Mossahebi; Vasily L Yarnykh; Alexey Samsonov
Journal:  Magn Reson Med       Date:  2014-02       Impact factor: 4.668

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