Literature DB >> 15004790

Linear combination of multiecho data: short T2 component selection.

Craig K Jones1, Qing-San Xiang, Kenneth P Whittall, Alex L MacKay.   

Abstract

The myelin sheath, which is wrapped around the axons in the brain, can be affected by many diseases, resulting in cognitive and physical disability. Other work showed water in the myelin sheath has a T2 approximately 15 ms. The current standard technique to estimate the fraction of myelin water in vivo is to collect multiecho data and fit the decay curves using a nonnegative least-squares (NNLS) algorithm. A new algorithm was developed to calculate optimized coefficients which were used to linearly combine multiecho data to estimate the myelin water signal. A set of simulations showed the new technique was accurate over a broad range of myelin water signal. The myelin water fraction from brain regions in scans from five volunteers, estimated by the linear combination method, agreed with the myelin water fraction estimated by the standard technique. The strength of the new technique is that the linear combination does not assume an underlying T2 model and is 20,000 times faster than NNLS. Copyright 2004 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2004        PMID: 15004790     DOI: 10.1002/mrm.10713

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


  8 in total

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Review 2.  Magnetic resonance imaging of myelin.

Authors:  Cornelia Laule; Irene M Vavasour; Shannon H Kolind; David K B Li; Tony L Traboulsee; G R Wayne Moore; Alex L MacKay
Journal:  Neurotherapeutics       Date:  2007-07       Impact factor: 7.620

Review 3.  Inferring brain tissue composition and microstructure via MR relaxometry.

Authors:  Mark D Does
Journal:  Neuroimage       Date:  2018-01-02       Impact factor: 6.556

4.  Water mobility spectral imaging of the spinal cord: Parametrization of model-free Laplace MRI.

Authors:  Dan Benjamini; Peter J Basser
Journal:  Magn Reson Imaging       Date:  2018-12-22       Impact factor: 2.546

Review 5.  The current state-of-the-art of spinal cord imaging: methods.

Authors:  P W Stroman; C Wheeler-Kingshott; M Bacon; J M Schwab; R Bosma; J Brooks; D Cadotte; T Carlstedt; O Ciccarelli; J Cohen-Adad; A Curt; N Evangelou; M G Fehlings; M Filippi; B J Kelley; S Kollias; A Mackay; C A Porro; S Smith; S M Strittmatter; P Summers; I Tracey
Journal:  Neuroimage       Date:  2013-05-14       Impact factor: 6.556

6.  Bias of cartilage T2 values related to method of calculation.

Authors:  Matthew F Koff; Kimberly K Amrami; Joel P Felmlee; Kenton R Kaufman
Journal:  Magn Reson Imaging       Date:  2008-05-07       Impact factor: 2.546

7.  Use of the NESMA Filter to Improve Myelin Water Fraction Mapping with Brain MRI.

Authors:  Mustapha Bouhrara; David A Reiter; Michael C Maring; Jean-Marie Bonny; Richard G Spencer
Journal:  J Neuroimaging       Date:  2018-07-12       Impact factor: 2.486

8.  Myelin water fraction mapping from multiple echo spin echoes and an independent B1 + map.

Authors:  Nima Mehdizadeh; Alan H Wilman
Journal:  Magn Reson Med       Date:  2022-05-16       Impact factor: 3.737

  8 in total

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