Literature DB >> 11359726

MR image analysis in multiple sclerosis.

L G Nyul1, J K Udupa.   

Abstract

MR imaging is the ubiquitous imaging modality used for studying multiple sclerosis (MS). A variety of MR imaging protocols, including T2, spin density, T1-weighted, with and without gadolinium, and magnetization transfer imaging, have been used in studying MS. This article provides an overview of the techniques recently developed for quantifying the extent of MS through the application of MR imaging.

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Year:  2000        PMID: 11359726

Source DB:  PubMed          Journal:  Neuroimaging Clin N Am        ISSN: 1052-5149            Impact factor:   2.264


  4 in total

1.  Segmentation of electron tomographic data sets using fuzzy set theory principles.

Authors:  Edgar Garduño; Mona Wong-Barnum; Niels Volkmann; Mark H Ellisman
Journal:  J Struct Biol       Date:  2008-02-16       Impact factor: 2.867

2.  Parallel Fuzzy Segmentation of Multiple Objects.

Authors:  Edgar Garduño; Gabor T Herman
Journal:  Int J Imaging Syst Technol       Date:  2008       Impact factor: 2.000

3.  Diminished visibility of cerebral venous vasculature in multiple sclerosis by susceptibility-weighted imaging at 3.0 Tesla.

Authors:  Yulin Ge; Vahe M Zohrabian; Etin-Osa Osa; Jian Xu; Hina Jaggi; Joseph Herbert; E Mark Haacke; Robert I Grossman
Journal:  J Magn Reson Imaging       Date:  2009-05       Impact factor: 4.813

4.  Reliability of tumor volume estimation from MR images in patients with malignant glioma. Results from the American College of Radiology Imaging Network (ACRIN) 6662 Trial.

Authors:  Birgit B Ertl-Wagner; Jeffrey D Blume; Donald Peck; Jayaram K Udupa; Benjamin Herman; Anthony Levering; Ilona M Schmalfuss
Journal:  Eur Radiol       Date:  2008-10-17       Impact factor: 5.315

  4 in total

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