Literature DB >> 11378869

Anisotropy in high angular resolution diffusion-weighted MRI.

L R Frank1.   

Abstract

The diffusion in voxels with multidirectional fibers can be quite complicated and not necessarily well characterized by the standard diffusion tensor model. High angular resolution diffusion-weighted acquisitions have recently been proposed as a method to investigate such voxels, but the reconstruction methods proposed require sophisticated estimation schemes. We present here a simple algorithm for the identification of diffusion anisotropy based upon the variance of the estimated apparent diffusion coefficient (ADC) as a function of measurement direction. The rationale for this method is discussed, and results in normal human subjects acquired with a novel diffusion-weighted stimulated-echo spiral acquisition are presented which distinguish areas of anisotropy that are not apparent in the relative anisotropy maps derived from the standard diffusion tensor model. Published 2001 Wiley-Liss, Inc.

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Year:  2001        PMID: 11378869     DOI: 10.1002/mrm.1125

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


  141 in total

1.  Optimization of diffusion-tensor MR imaging data acquisition parameters for brain fiber tracking using parallel imaging at 3 T.

Authors:  Shinji Naganawa; Tokiko Koshikawa; Hisashi Kawai; Hiroshi Fukatsu; Takeo Ishigaki; Katsuya Maruyama; Osamu Takizawa
Journal:  Eur Radiol       Date:  2003-11-19       Impact factor: 5.315

2.  Deviations from the diffusion tensor model as revealed by contour plot visualization using high angular resolution diffusion-weighted imaging (HARDI).

Authors:  Jochen G Hirsch; Stefanie M Schwenk; Christina Rossmanith; Michael G Hennerici; Achim Gass
Journal:  MAGMA       Date:  2003-06-12       Impact factor: 2.310

Review 3.  [Diffusion tensor imaging. Theory, sequence optimization and application in Alzheimer's disease].

Authors:  B Stieltjes; M Schlüter; H K Hahn; T Wilhelm; M Essig
Journal:  Radiologe       Date:  2003-06-28       Impact factor: 0.635

4.  Characterization of imaging gradients in diffusion tensor imaging.

Authors:  Alpay Özcan
Journal:  J Magn Reson       Date:  2010-08-13       Impact factor: 2.229

5.  A new model for diffusion weighted MRI: complete Fourier direct MRI.

Authors:  Alpay Ozcan
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

6.  The diffusion tensor imaging toolbox.

Authors:  Jeffry R Alger
Journal:  J Neurosci       Date:  2012-05-30       Impact factor: 6.167

7.  Fiber tractography based on diffusion tensor imaging compared with high-angular-resolution diffusion imaging with compressed sensing: initial experience.

Authors:  Daniela Kuhnt; Miriam H A Bauer; Jan Egger; Mirco Richter; Tina Kapur; Jens Sommer; Dorit Merhof; Christopher Nimsky
Journal:  Neurosurgery       Date:  2013-01       Impact factor: 4.654

8.  A note on the validity of statistical bootstrapping for estimating the uncertainty of tensor parameters in diffusion tensor images.

Authors:  Ying Yuan; Hongtu Zhu; Joseph G Ibrahim; Weili Lin; Bradley S Peterson
Journal:  IEEE Trans Med Imaging       Date:  2008-10       Impact factor: 10.048

9.  High efficiency, low distortion 3D diffusion tensor imaging with variable density spiral fast spin echoes (3D DW VDS RARE).

Authors:  Lawrence R Frank; Youngkyoo Jung; Souheil Inati; J Michael Tyszka; Eric C Wong
Journal:  Neuroimage       Date:  2009-09-22       Impact factor: 6.556

10.  In vivo generalized diffusion tensor imaging (GDTI) using higher-order tensors (HOT).

Authors:  Chunlei Liu; Sarah C Mang; Michael E Moseley
Journal:  Magn Reson Med       Date:  2010-01       Impact factor: 4.668

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