Robust myelin water quantification: Averaging vs. spatial filtering

Craig K. Jones, Kenneth P. Whittall, Alex L. MacKay

Research output: Contribution to journalArticlepeer-review

Abstract

The myelin water fraction is calculated, voxel-by-voxel, by fitting decay curves from a multi-echo data acquisition. Curve-fitting algorithms require a high signal-to-noise ratio to separate T2 components in the T2 distribution. This work compared the effect of averaging, during acquisition, to data post-processed with a noise reduction filter. Forty regions, from five volunteers, were analyzed. A consistent decrease in the myelin water fraction variability with no bias in the mean was found for all 40 regions. Images of the myelin water fraction of white matter were more contiguous and had fewer "holes" than images of myelin water fractions from unfiltered echoes. Spatial filtering was effective for decreasing the variability in myelin water fraction calculated from 4-average multi-echo data.

Original languageEnglish (US)
Pages (from-to)206-209
Number of pages4
JournalMagnetic resonance in medicine
Volume50
Issue number1
DOIs
StatePublished - Jul 1 2003
Externally publishedYes

Keywords

  • Anisotropic diffusion filter
  • Image processing
  • Myelin
  • SNR
  • T estimation

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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