Literature DB >> 12591569

T2 relaxation time histograms in multiple sclerosis.

D Grenier1, D Pelletier, M Normandeau, D Newitt, S Nelson, D E Goodkin, S Majumdar.   

Abstract

An accurate measurement of the transverse relaxation time T(2), and the histogram of T(2) in the brain parenchyma can be accomplished in vivo using a multi-echo magnetic resonance imaging sequence. An estimate of the error in the T(2) measurement is derived using copper sulfate doped water phantoms. Correction factors are calculated and applied to the signal intensity of each voxel prior to the in vivo T(2) evaluation. These corrected T(2) are in good agreement with the theoretical values calculated from copper sulfate concentrations. This technique is then applied to calculate T(2) histograms of the brain. The population studied was composed of normal volunteers and multiple sclerosis patients. The corrected T(2) histogram method discriminates the normal control population from the MS population, and also discriminates between relapsing-remitting patients and primary progressive or secondary progressive patients. Moreover using this approach we are able to detect in MS patients a global shift of the T(2) of the white mater toward higher values. The results of this study showed that the method is easy to implement and may be used to characterize MS pathology.

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Year:  2002        PMID: 12591569     DOI: 10.1016/s0730-725x(02)00623-9

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  6 in total

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Authors:  Erik K Kastman; Auriel A Willette; Christopher L Coe; Barbara B Bendlin; Kris J Kosmatka; Donald G McLaren; Guofan Xu; Elisa Canu; Aaron S Field; Andrew L Alexander; Mary Lou Voytko; T Mark Beasley; Ricki J Colman; Richard H Weindruch; Sterling C Johnson
Journal:  J Neurosci       Date:  2010-06-09       Impact factor: 6.167

2.  In vivo quantitative evaluation of brain tissue damage in multiple sclerosis using gradient echo plural contrast imaging technique.

Authors:  Pascal Sati; Anne H Cross; Jie Luo; Charles F Hildebolt; Dmitriy A Yablonskiy
Journal:  Neuroimage       Date:  2010-03-23       Impact factor: 6.556

3.  Relevance of the skewness index in DTI exploration of multiple sclerosis.

Authors:  Eliane Graulières; Jean-Albert Lotterie; Emmanuelle Cassol; Angélique Gerdelat; Michel Clanet; Isabelle Berry
Journal:  MAGMA       Date:  2008-11-08       Impact factor: 2.310

4.  3 T MRI relaxometry detects T2 prolongation in the cerebral normal-appearing white matter in multiple sclerosis.

Authors:  Mohit Neema; Daniel Goldberg-Zimring; Zachary D Guss; Brian C Healy; Charles R G Guttmann; Maria K Houtchens; Howard L Weiner; Mark A Horsfield; David B Hackney; David C Alsop; Rohit Bakshi
Journal:  Neuroimage       Date:  2009-03-10       Impact factor: 6.556

5.  Myelin water imaging reflects clinical variability in multiple sclerosis.

Authors:  Shannon Kolind; Lucy Matthews; Heidi Johansen-Berg; M Isabel Leite; Steven C R Williams; Sean Deoni; Jackie Palace
Journal:  Neuroimage       Date:  2011-12-06       Impact factor: 6.556

6.  Quantitative signal properties from standardized MRIs correlate with multiple sclerosis disability.

Authors:  Tammie L S Benzinger; Robert T Naismith; Matthew R Brier; Abraham Z Snyder; Aaron Tanenbaum; Richard A Rudick; Elizabeth Fisher; Stephen Jones; Joshua S Shimony; Anne H Cross
Journal:  Ann Clin Transl Neurol       Date:  2021-05-04       Impact factor: 4.511

  6 in total

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