Literature DB >> 22139997

3D FLAIRED: 3D fluid attenuated inversion recovery for enhanced detection of lesions in multiple sclerosis.

Paul Polak1, Christopher Magnano, Robert Zivadinov, Guy Poloni.   

Abstract

Contrast optimization of a three-dimensional (3D) Fluid-attenuated inversion recovery (FLAIR) sequence is examined in the context of multiple sclerosis. In order to develop 3D FLAIR for enhanced detection of lesions, an iterative approach based on theoretical considerations was used. The 3D FLAIR sequence was systematically acquired with incremental parameter changes on a single subject with multiple sclerosis in a 3-T MRI scanner. Region of interest analysis was performed on the images, and the best estimate of the optimal acquisition parameters was established. This process was iterated on subsequent patients with multiple sclerosis until only marginal gains in quality were obtained. Three-dimensional FLAIR for enhanced detection produced increased lesion detection and identification in the supratentorial and infratentorial regions when compared with default GE 3D FLAIR and two-dimensional FLAIR sequences. Lesion border delineation was enhanced as evidenced by better lesion and white matter contrast ratios, demonstrating that the approach is a viable method for improved lesion detection.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 22139997     DOI: 10.1002/mrm.23289

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


  6 in total

1.  Improving Detection of Multiple Sclerosis Lesions in the Posterior Fossa Using an Optimized 3D-FLAIR Sequence at 3T.

Authors:  A Lecler; I El Sanharawi; J El Methni; O Gout; P Koskas; J Savatovsky
Journal:  AJNR Am J Neuroradiol       Date:  2019-06-27       Impact factor: 3.825

2.  GRAPE: a graphical pipeline environment for image analysis in adaptive magnetic resonance imaging.

Authors:  Refaat E Gabr; Getaneh B Tefera; William J Allen; Amol S Pednekar; Ponnada A Narayana
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-10-28       Impact factor: 2.924

Review 3.  Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease.

Authors:  François De Guio; Eric Jouvent; Geert Jan Biessels; Sandra E Black; Carol Brayne; Christopher Chen; Charlotte Cordonnier; Frank-Eric De Leeuw; Martin Dichgans; Fergus Doubal; Marco Duering; Carole Dufouil; Emrah Duzel; Franz Fazekas; Vladimir Hachinski; M Arfan Ikram; Jennifer Linn; Paul M Matthews; Bernard Mazoyer; Vincent Mok; Bo Norrving; John T O'Brien; Leonardo Pantoni; Stefan Ropele; Perminder Sachdev; Reinhold Schmidt; Sudha Seshadri; Eric E Smith; Luciano A Sposato; Blossom Stephan; Richard H Swartz; Christophe Tzourio; Mark van Buchem; Aad van der Lugt; Robert van Oostenbrugge; Meike W Vernooij; Anand Viswanathan; David Werring; Frank Wollenweber; Joanna M Wardlaw; Hugues Chabriat
Journal:  J Cereb Blood Flow Metab       Date:  2016-05-11       Impact factor: 6.200

4.  Optimizing 3D FLAIR to detect MS lesions: pushing past factory settings for precise results.

Authors:  Augustin Lecler; C Bouzad; R Deschamps; F Maizeroi; J C Sadik; A Gueguen; O Gout; H Picard; J Savatovsky
Journal:  J Neurol       Date:  2019-08-01       Impact factor: 4.849

5.  Optimal combination of FLAIR and T2-weighted MRI for improved lesion contrast in multiple sclerosis.

Authors:  Refaat E Gabr; Khader M Hasan; Muhammad E Haque; Flavia M Nelson; Jerry S Wolinsky; Ponnada A Narayana
Journal:  J Magn Reson Imaging       Date:  2016-04-29       Impact factor: 4.813

Review 6.  Remyelination Therapy in Multiple Sclerosis.

Authors:  Danielle E Harlow; Justin M Honce; Augusto A Miravalle
Journal:  Front Neurol       Date:  2015-12-10       Impact factor: 4.003

  6 in total

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