Testing the three-pool white matter model adapted for use with T 2 relaxometry

Trevor Andrews, Jack L. Lancaster, Stephen J. Dodd, Carmen Contreras-Sesvold, Peter T. Fox

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

A three-pool model was used to improve white-matter T2 relaxometry in low signal-to-noise (SNR) data. To verify the model very high SNR T2 relaxometry experiments were performed on myelinated tissue samples and three-pool fractions were consistently found. Relaxation curves based on the in vitro results were simulated with multiple SNRs and fit using the three-pool model and three less constraining nonnegative least squares-based methods. All methods performed well with noiseless data. At lower SNR values the three-pool model was superior, primarily due to the fact that the other methods often could not unambiguously calculate pool fractions.

Original languageEnglish (US)
Pages (from-to)449-454
Number of pages6
JournalMagnetic Resonance in Medicine
Volume54
Issue number2
DOIs
StatePublished - Aug 2005

Keywords

  • Multiexponential
  • Myelin
  • NNLS
  • T
  • Three-pool model

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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