Quantitative water content mapping at clinically relevant field strengths: a comparative study at 1.5 T and 3 T

Zaheer Abbas, Vincent Gras, Klaus Möllenhoff, Ana Maria Oros-Peusquens, Nadim Joni Shah

Research output: Contribution to journalArticleResearchpeer-review

21 Citations (Scopus)

Abstract

Purpose: Quantitative water content mapping in vivo using MRI is a very valuable technique to detect, monitor and understand diseases of the brain. At 1.5. T, this technology has already been successfully used, but it has only recently been applied at 3. T because of significantly increased RF field inhomogeneity at the higher field strength. To validate the technology at 3. T, we estimate and compare in vivo quantitative water content maps at 1.5. T and 3. T obtained with a protocol proposed recently for 3. T MRI. Methods: The proposed MRI protocol was applied on twenty healthy subjects at 1.5. T and 3. T; the same post-processing algorithms were used to estimate the water content maps. The 1.5. T and 3. T maps were subsequently aligned and compared on a voxel-by-voxel basis. Statistical analysis was performed to detect possible differences between the estimated 1.5. T and 3. T water maps. Results: Our analysis indicates that the water content values obtained at 1.5. T and 3. T did not show significant systematic differences. On average the difference did not exceed the standard deviation of the water content at 1.5. T. Furthermore, the contrast-to-noise ratio (CNR) of the estimated water content map was increased at 3. T by a factor of at least 1.5. Conclusions: Vulnerability to RF inhomogeneity increases dramatically with the increasing static magnetic field strength. However, using advanced corrections for the sensitivity profile of the MR coils, it is possible to preserve quantitative accuracy while benefiting from the increased CNR at the higher field strength. Indeed, there was no significant difference in the water content values obtained in the brain at 1.5. T and 3. T.

Original languageEnglish
Pages (from-to)404-413
Number of pages10
JournalNeuroImage
Volume106
DOIs
Publication statusPublished - 1 Feb 2015
Externally publishedYes

Keywords

  • Clinical field strength
  • Parametric mapping
  • Proton density
  • Quantitative imaging
  • Water content

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