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Journal article

Whole brain myelin mapping using T1- and T2-weighted MR imaging data.

Abstract:
Despite recent advancements in MR imaging, non-invasive mapping of myelin in the brain still remains an open issue. Here we attempted to provide a potential solution. Specifically, we developed a processing workflow based on T1-w and T2-w MR data to generate an optimized myelin enhanced contrast image. The workflow allows whole brain mapping using the T1-w/T2-w technique, which was originally introduced as a non-invasive method for assessing cortical myelin content. The hallmark of our approach is a retrospective calibration algorithm, applied to bias-corrected T1-w and T2-w images, that relies on image intensities outside the brain. This permits standardizing the intensity histogram of the ratio image, thereby allowing for across-subject statistical analyses. Quantitative comparisons of image histograms within and across different datasets confirmed the effectiveness of our normalization procedure. Not only did the calibrated T1-w/T2-w images exhibit a comparable intensity range, but also the shape of the intensity histograms was largely corresponding. We also assessed the reliability and specificity of the ratio image compared to other MR-based techniques, such as magnetization transfer ratio (MTR), fractional anisotropy (FA), and fluid-attenuated inversion recovery (FLAIR). With respect to these other techniques, T1-w/T2-w had consistently high values, as well as low inter-subject variability, in brain structures where myelin is most abundant. Overall, our results suggested that the T1-w/T2-w technique may be a valid tool supporting the non-invasive mapping of myelin in the brain. Therefore, it might find important applications in the study of brain development, aging and disease.
Publication status:
Published

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Publisher copy:
10.3389/fnhum.2014.00671

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author


Publisher:
Frontiers Research Foundation
Journal:
Frontiers in human neuroscience More from this journal
Volume:
8
Issue:
SEP
Pages:
671
Publication date:
2014-01-01
DOI:
EISSN:
1662-5161
ISSN:
1662-5161


Language:
English
Keywords:
Pubs id:
pubs:484501
UUID:
uuid:13effb35-aded-4568-b4b8-f16044c0351f
Local pid:
pubs:484501
Source identifiers:
484501
Deposit date:
2014-09-27
ARK identifier:

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