On the computational assessment of white matter hyperintensity progression: difficulties in method selection and bias field correction performance on images with significant white matter pathology.

Neuroradiology
Maria Del C Valdés HernándezJoanna M Wardlaw

Abstract

Subtle inhomogeneities in the scanner's magnetic fields (B0 and B1) alter the intensity levels of the structural magnetic resonance imaging (MRI) affecting the volumetric assessment of WMH changes. Here, we investigate the influence that (1) correcting the images for the B1 inhomogeneities (i.e. bias field correction (BFC)) and (2) selection of the WMH change assessment method can have on longitudinal analyses of WMH progression and discuss possible solutions. We used brain structural MRI from 46 mild stroke patients scanned at stroke onset and 3 years later. We tested three BFC approaches: FSL-FAST, N4 and exponentially entropy-driven homomorphic unsharp masking (E(2)D-HUM) and analysed their effect on the measured WMH change. Separately, we tested two methods to assess WMH changes: measuring WMH volumes independently at both time points semi-automatically (MCMxxxVI) and subtracting intensity-normalised FLAIR images at both time points following image gamma correction. We then combined the BFC with the computational method that performed best across the whole sample to assess WMH changes. Analysis of the difference in the variance-to-mean intensity ratio in normal tissue between BFC and uncorrected images and visual inspection...Continue Reading

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Citations

Mar 13, 2019·Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring·Eric E SmithJoanna M Wardlaw
Aug 18, 2017·Neuroradiology·Maria Del C Valdés HernándezJoanna M Wardlaw
Nov 5, 2019·NeuroImage·Meral A TubiUNKNOWN Alzheimer’s Disease Neuroimaging Initiative

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Software Mentioned

HUM
E HUM
MCMxxxVI
FSL
Robust Correlation MATLAB Toolbox
FAST
SPSS Statistics

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