Literature DB >> 22144171

Correction of systematic errors in quantitative proton density mapping.

Steffen Volz1, Ulrike Nöth, Ralf Deichmann.   

Abstract

Interest in techniques yielding quantitative information about brain tissue proton densities is increasing. In general, all parameters influencing the signal amplitude are mapped in several acquisitions and then eliminated from the image data to obtain pure proton density weighting. Particularly, the measurement of the receiver coil sensitivity profile is problematic. Several methods published so far are based on the reciprocity theorem, assuming that receive and transmit sensitivities are identical. Goals of this study were (1) to determine quantitative proton density maps using an optimized variable flip angle method for T(1) mapping at 3 T, (2) to investigate if systematic errors can arise from insufficient spoiling of transverse magnetization, and (3) to compare two methods for mapping the receiver coil sensitivity, based on either the reciprocity theorem or bias field correction. Results show that insufficient spoiling yields systematic errors in absolute proton density of about 3-4 pu. A correction algorithm is proposed. It is shown that receiver coil sensitivity mapping based on the reciprocity theorem yields erroneous proton density values, whereas reliable data are obtained with bias field correction. Absolute proton density values in different brain areas, evaluated on six healthy subjects, are in excellent agreement with recent literature results.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 22144171     DOI: 10.1002/mrm.23206

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  26 in total

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Journal:  MAGMA       Date:  2016-01-06       Impact factor: 2.310

2.  Evaluating quantitative proton-density-mapping methods.

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Journal:  Hum Brain Mapp       Date:  2016-06-06       Impact factor: 5.038

Review 3.  Modeling white matter microstructure.

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4.  A new algebraic method for quantitative proton density mapping using multi-channel coil data.

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Journal:  Med Image Anal       Date:  2017-06-23       Impact factor: 8.545

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Journal:  MAGMA       Date:  2014-06-08       Impact factor: 2.310

6.  Simultaneous Quantitative Imaging of Electrical Properties and Proton Density From B1 Maps Using MRI.

Authors:  Pierre-Francois Van de Moortele
Journal:  IEEE Trans Med Imaging       Date:  2016-09       Impact factor: 10.048

7.  Fast and high-resolution quantitative mapping of tissue water content with full brain coverage for clinically-driven studies.

Authors:  Mohammad Sabati; Andrew A Maudsley
Journal:  Magn Reson Imaging       Date:  2013-09-17       Impact factor: 2.546

8.  Cortical quantitative MRI parameters are related to the cognitive status in patients with relapsing-remitting multiple sclerosis.

Authors:  Alexandra van Wijnen; Franca Petrov; Michelle Maiworm; Stefan Frisch; Christian Foerch; Elke Hattingen; Helmuth Steinmetz; Johannes C Klein; Ralf Deichmann; Marlies Wagner; René-Maxime Gracien
Journal:  Eur Radiol       Date:  2019-10-10       Impact factor: 5.315

9.  g-Ratio weighted imaging of the human spinal cord in vivo.

Authors:  T Duval; S Le Vy; N Stikov; J Campbell; A Mezer; T Witzel; B Keil; V Smith; L L Wald; E Klawiter; J Cohen-Adad
Journal:  Neuroimage       Date:  2016-09-22       Impact factor: 6.556

10.  Changes and variability of proton density and T1 relaxation times in early multiple sclerosis: MRI markers of neuronal damage in the cerebral cortex.

Authors:  René-Maxime Gracien; Sarah C Reitz; Stephanie Michelle Hof; Vinzenz Fleischer; Hilga Zimmermann; Amgad Droby; Helmuth Steinmetz; Frauke Zipp; Ralf Deichmann; Johannes C Klein
Journal:  Eur Radiol       Date:  2015-10-22       Impact factor: 5.315

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