Literature DB >> 18632287

Fast quantitative mapping of absolute water content with full brain coverage.

H Neeb1, V Ermer, T Stocker, N J Shah.   

Abstract

Quantitative mapping of water content, especially in the human brain, has the potential to provide important information for the study and diagnosis of diseases associated with a focal or global change in tissue water homeostasis. In the current work, an imaging method for the precise and accurate quantification of tissue water content is presented. The method allows the acquisition of water content maps with voxel dimensions of 1x1x2 mm(3) and full brain coverage in less than 10 min on a standard clinical 1.5 T scanner. The precision was optimised for human brain imaging and possible sources of systematic error were carefully investigated, demonstrating the ability of the method to quantify water content with high accuracy and precision. The approach was validated in phantom experiments and quantitative cerebral water content maps of a group of 10 healthy volunteers were obtained.

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Year:  2008        PMID: 18632287     DOI: 10.1016/j.neuroimage.2008.03.060

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  30 in total

1.  Quantitative measurement of blood-brain barrier permeability in human using dynamic contrast-enhanced MRI with fast T1 mapping.

Authors:  Saeid Taheri; Charles Gasparovic; Nadim Jon Shah; Gary A Rosenberg
Journal:  Magn Reson Med       Date:  2010-12-13       Impact factor: 4.668

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

Authors:  Dietmar Cordes; Zhengshi Yang; Xiaowei Zhuang; Karthik Sreenivasan; Virendra Mishra; Le H Hua
Journal:  Med Image Anal       Date:  2017-06-23       Impact factor: 8.545

3.  Fast water concentration mapping to normalize (1)H MR spectroscopic imaging.

Authors:  Angèle Lecocq; Yann Le Fur; Alexis Amadon; Alexandre Vignaud; Patrick J Cozzone; Maxime Guye; Jean-Philippe Ranjeva
Journal:  MAGMA       Date:  2014-06-08       Impact factor: 2.310

4.  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

5.  Multipulse sodium magnetic resonance imaging for multicompartment quantification: Proof-of-concept.

Authors:  Alina Gilles; Armin M Nagel; Guillaume Madelin
Journal:  Sci Rep       Date:  2017-12-12       Impact factor: 4.379

6.  The impact of fibre orientation on T1-relaxation and apparent tissue water content in white matter.

Authors:  Felix Schyboll; Uwe Jaekel; Bernd Weber; Heiko Neeb
Journal:  MAGMA       Date:  2018-02-20       Impact factor: 2.310

7.  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

8.  Whole-brain quantitative mapping of metabolites using short echo three-dimensional proton MRSI.

Authors:  Angèle Lecocq; Yann Le Fur; Andrew A Maudsley; Arnaud Le Troter; Sulaiman Sheriff; Mohamad Sabati; Maxime Donnadieu; Sylviane Confort-Gouny; Patrick J Cozzone; Maxime Guye; Jean-Philippe Ranjeva
Journal:  J Magn Reson Imaging       Date:  2014-11-28       Impact factor: 4.813

9.  Quantitative sodium MR imaging and sodium bioscales for the management of brain tumors.

Authors:  Keith R Thulborn; Aiming Lu; Ian C Atkinson; Fred Damen; John L Villano
Journal:  Neuroimaging Clin N Am       Date:  2009-11       Impact factor: 2.264

10.  Comparison of two quantitative proton density mapping methods in multiple sclerosis.

Authors:  René-Maxime Gracien; Sarah C Reitz; Marlies Wagner; Christoph Mayer; Steffen Volz; Stephanie-Michelle Hof; Vinzenz Fleischer; Amgad Droby; Helmuth Steinmetz; Sergiu Groppa; Elke Hattingen; Johannes C Klein; Ralf Deichmann
Journal:  MAGMA       Date:  2016-08-20       Impact factor: 2.310

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