Literature DB >> 20882626

Quantitative BOLD: the effect of diffusion.

John D Dickson1, Tom W J Ash, Guy B Williams, Sally G Harding, T Adrian Carpenter, David K Menon, Richard E Ansorge.   

Abstract

PURPOSE: To make the quantitative blood oxygenation level-dependent (qBOLD) method more suitable for clinical application by accounting for proton diffusion and reducing acquisition times.
MATERIALS AND METHODS: Monte Carlo methods are used to simulate the signal from diffusing protons in the presence of a blood vessel network. A diffusive qBOLD model was then constructed using a lookup table of the results. Acquisition times are reduced by parallel imaging and by employing an integrated fieldmapping method, rather than running an additional sequence.
RESULTS: The addition of diffusion to the model is shown to have a significant impact on predicted signal formation. This is found to affect all fitted parameters when the model is applied to real data. Parallel imaging and integrated fieldmapping allowed the GESSE (gradient echo sampling of a spin echo) acquisition to be made in less than 10 minutes while maintaining high signal-to-noise ratio (SNR).
CONCLUSION: By incorporating integrated field mapping and parallel imaging techniques, GESSE data were acquired within clinically acceptable acquisition times. These data fit closely to the diffusive qBOLD model, providing more realistic and robust measurements of T(2) and blood oxygenation than the static model.

Mesh:

Substances:

Year:  2010        PMID: 20882626     DOI: 10.1002/jmri.22151

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  22 in total

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2.  Optimization strategies for evaluation of brain hemodynamic parameters with qBOLD technique.

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Review 3.  The physics of functional magnetic resonance imaging (fMRI).

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Review 5.  Imaging brain oxygenation with MRI using blood oxygenation approaches: methods, validation, and clinical applications.

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6.  Comparison of R2' measurement methods in the normal brain at 3 Tesla.

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7.  The potential for gas-free measurements of absolute oxygen metabolism during both baseline and activation states in the human brain.

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8.  Oxygen metabolism in ischemic stroke using magnetic resonance imaging.

Authors:  Hongyu An; Qingwei Liu; Yasheng Chen; Katie D Vo; Andria L Ford; Jin-Moo Lee; Weili Lin
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Review 9.  Blood oxygenation level-dependent (BOLD)-based techniques for the quantification of brain hemodynamic and metabolic properties - theoretical models and experimental approaches.

Authors:  Dmitriy A Yablonskiy; Alexander L Sukstanskii; Xiang He
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10.  A novel Bayesian approach to accounting for uncertainty in fMRI-derived estimates of cerebral oxygen metabolism fluctuations.

Authors:  Aaron B Simon; David J Dubowitz; Nicholas P Blockley; Richard B Buxton
Journal:  Neuroimage       Date:  2016-01-11       Impact factor: 6.556

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