Fast macromolecular proton fraction mapping from a single off-resonance magnetization transfer measurement

A new method was developed for fast quantitative mapping of the macromolecular proton fraction defined within the two‐pool model of magnetization transfer. The method utilizes a single image with off‐resonance saturation, a reference image for data normalization, and T1, B0, and B1 maps with the tot...

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Bibliographic Details
Published inMagnetic resonance in medicine Vol. 68; no. 1; pp. 166 - 178
Main Author Yarnykh, Vasily L.
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.07.2012
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ISSN0740-3194
1522-2594
1522-2594
DOI10.1002/mrm.23224

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Summary:A new method was developed for fast quantitative mapping of the macromolecular proton fraction defined within the two‐pool model of magnetization transfer. The method utilizes a single image with off‐resonance saturation, a reference image for data normalization, and T1, B0, and B1 maps with the total acquisition time ∼10 min for whole‐brain imaging. Macromolecular proton fraction maps are reconstructed by iterative solution of the matrix pulsed magnetization transfer equation with constrained values of other model parameters. Theoretical error model describing the variance due to noise and the bias due to deviations of constrained parameters from their actual values was formulated based on error propagation rules. The method was validated by comparison with the conventional multiparameter multipoint fit of the pulsed magnetization transfer model based on data from two healthy subjects and two multiple sclerosis patients. It was demonstrated theoretically and experimentally that accuracy of the method depends on the offset frequency and flip angle of the saturation pulse, and optimal ranges of these parameters are 4–7 kHz and 600°–900°, respectively. At optimal sampling conditions, the single‐point method enables <10% relative macromolecular proton fraction errors. Comparison with the multiparameter fitting method revealed very good agreement with no significant bias and limits of agreement around ±0.7%. Magn Reson Med, 2012. © 2011 Wiley Periodicals, Inc.
Bibliography:istex:4E58217FBB3EDE228A0D321B354DD8953E3BF6A7
ArticleID:MRM23224
NIH - No. R21EB009908
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content type line 23
ISSN:0740-3194
1522-2594
1522-2594
DOI:10.1002/mrm.23224