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Published on: March 17, 2016
Post-acquisition processing confounds in brain volumetric quantification of white matter hyperintensities
Ahmed A Bahrani1, Omar M Al-Janabi2, Erin L Abner3
1Department of Biomedical Engineering, College of Engineering, University of Kentucky, Lexington, KY, 40506, United States; Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, Lexington, KY, 40506, United States; Biomedical Engineering Department, Al-Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq.
Standardizing post-acquisition processing for magnetic resonance imaging (MRI) reduces variability in white matter hyperintensities (WMH) quantification. This new protocol ensures less than 0.5% inter-rater variance for reliable cross-site comparisons.
Area of Science:
- Neuroimaging
- Medical Image Analysis
- Gerontology
Background:
- Magnetic resonance imaging (MRI) studies on aging populations show significant variability in white matter hyperintensities (WMH) volumetric quantification across different research sites, even with identical acquisition techniques.
- The underlying causes of this variability in WMH measurement have not been thoroughly investigated.
Purpose of the Study:
- To identify and address sources of variability in the post-acquisition processing of 3D FLAIR MRI sequences.
- To develop a standardized protocol for WMH volumetric quantification with minimal inter-rater variance for improved data comparability.
Main Methods:
- Analysis of 3D FLAIR sequences from aged subjects to pinpoint post-acquisition processing variables affecting WMH quantification.
- Exploration of factors such as image center selection, software versions, thresholding, and manual editing.
- Development of a standardized protocol to minimize variability in WMH volume measurements.
Main Results:
- Post-acquisition processing can introduce substantial variance (up to 15%) in WMH volume quantification, independent of scan acquisition quality.
- Controlling for identified sources of variability, including image center, software, thresholding, and manual editing, resulted in a protocol with less than 0.5% inter-rater variance.
- The developed protocol significantly enhances the reliability of WMH volumetric data.
Conclusions:
- Standardizing post-acquisition processing is crucial for reducing variability in MRI-based WMH quantification.
- Implementing controlled protocols minimizes quantitative image processing variance, enabling reliable cross-site and cross-study comparisons in aging research.
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