Literature DB >> 29531965

Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRI.

Vishwesh Nath1, Kurt G Schilling2, Prasanna Parvathaneni1, Justin Blaber1, Allison E Hainline3, Zhaohua Ding2, Adam Anderson2, Bennett A Landman1,2.   

Abstract

The diffusion tensor model is nonspecific in regions where micrometer structural patterns are inconsistent at the millimeter scale (i.e., brain regions with pathways that cross, bend, branch, fan, etc.). Numerous models have been proposed to represent crossing fibers and complex intravoxel structure from in vivo diffusion weighted magnetic resonance imaging (e.g., high angular resolution diffusion imaging-HARDI). Here, we present an empirical comparison of two HARDI approaches-persistent angular structure MRI (PAS-MRI) and Q-ball-using a newly acquired reproducibility dataset. Briefly, a single subject was scanned 11 times with 96 diffusion weighted directions and 10 reference volumes for each of two [Formula: see text] values (1000 and [Formula: see text] for a total of 2144 volumes). Empirical reproducibility of intravoxel fiber fractions (number/strength of peaks), angular orientation, and fractional anisotropy was compared with metrics from a traditional tensor analysis approach, focusing on [Formula: see text] values of 1000 and [Formula: see text]. PAS-MRI is shown to be more reproducible than Q-ball and offers advantages at low [Formula: see text] values. However, there are substantial and biologically meaningful differences between the intravoxel structures estimated both in terms of analysis method as well as by [Formula: see text] value. The two methods suggest a fundamentally different microarchitecture of the human brain; therefore, it is premature to perform meta-analysis or combine results across HARDI studies using a different analysis model or acquisition sequences.

Entities:  

Keywords:  Q-ball; angular error; empirical; high angular resolution diffusion imaging; in vivo; intravoxel structure; persistent angular structure MRI; reproducibility

Year:  2018        PMID: 29531965      PMCID: PMC5838516          DOI: 10.1117/1.JMI.5.1.014005

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  28 in total

1.  Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution.

Authors:  J-Donald Tournier; Fernando Calamante; David G Gadian; Alan Connelly
Journal:  Neuroimage       Date:  2004-11       Impact factor: 6.556

2.  Measurement of fiber orientation distributions using high angular resolution diffusion imaging.

Authors:  Adam W Anderson
Journal:  Magn Reson Med       Date:  2005-11       Impact factor: 4.668

3.  Validation of q-ball imaging with a diffusion fibre-crossing phantom on a clinical scanner.

Authors:  Muriel Perrin; Cyril Poupon; Bernard Rieul; Patrick Leroux; André Constantinesco; Jean-François Mangin; Denis Lebihan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-05-29       Impact factor: 6.237

Review 4.  Multiple-fiber reconstruction algorithms for diffusion MRI.

Authors:  Daniel C Alexander
Journal:  Ann N Y Acad Sci       Date:  2005-12       Impact factor: 5.691

5.  Effects of signal-to-noise ratio on the accuracy and reproducibility of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5 T.

Authors:  Jonathan A D Farrell; Bennett A Landman; Craig K Jones; Seth A Smith; Jerry L Prince; Peter C M van Zijl; Susumu Mori
Journal:  J Magn Reson Imaging       Date:  2007-09       Impact factor: 4.813

6.  Reproducibility and consistency of evaluation techniques for HARDI data.

Authors:  Kamil Gorczewski; Sarah Mang; Uwe Klose
Journal:  MAGMA       Date:  2008-09-23       Impact factor: 2.310

7.  Evaluation of the accuracy and angular resolution of q-ball imaging.

Authors:  Kuan-Hung Cho; Chun-Hung Yeh; Jacques-Donald Tournier; Yi-Ping Chao; Jyh-Horng Chen; Ching-Po Lin
Journal:  Neuroimage       Date:  2008-04-09       Impact factor: 6.556

8.  Reproducibility and variation of diffusion measures in the squirrel monkey brain, in vivo and ex vivo.

Authors:  Kurt Schilling; Yurui Gao; Iwona Stepniewska; Ann S Choe; Bennett A Landman; Adam W Anderson
Journal:  Magn Reson Imaging       Date:  2016-08-29       Impact factor: 2.546

9.  N4ITK: improved N3 bias correction.

Authors:  Nicholas J Tustison; Brian B Avants; Philip A Cook; Yuanjie Zheng; Alexander Egan; Paul A Yushkevich; James C Gee
Journal:  IEEE Trans Med Imaging       Date:  2010-04-08       Impact factor: 10.048

10.  Comparison of 3D orientation distribution functions measured with confocal microscopy and diffusion MRI.

Authors:  Kurt Schilling; Vaibhav Janve; Yurui Gao; Iwona Stepniewska; Bennett A Landman; Adam W Anderson
Journal:  Neuroimage       Date:  2016-01-21       Impact factor: 6.556

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  3 in total

1.  Tractography reproducibility challenge with empirical data (TraCED): The 2017 ISMRM diffusion study group challenge.

Authors:  Vishwesh Nath; Kurt G Schilling; Prasanna Parvathaneni; Yuankai Huo; Justin A Blaber; Allison E Hainline; Muhamed Barakovic; David Romascano; Jonathan Rafael-Patino; Matteo Frigo; Gabriel Girard; Jean-Philippe Thiran; Alessandro Daducci; Matt Rowe; Paulo Rodrigues; Vesna Prčkovska; Dogu B Aydogan; Wei Sun; Yonggang Shi; William A Parker; Abdol A Ould Ismail; Ragini Verma; Ryan P Cabeen; Arthur W Toga; Allen T Newton; Jakob Wasserthal; Peter Neher; Klaus Maier-Hein; Giovanni Savini; Fulvia Palesi; Enrico Kaden; Ye Wu; Jianzhong He; Yuanjing Feng; Michael Paquette; Francois Rheault; Jasmeen Sidhu; Catherine Lebel; Alexander Leemans; Maxime Descoteaux; Tim B Dyrby; Hakmook Kang; Bennett A Landman
Journal:  J Magn Reson Imaging       Date:  2019-06-09       Impact factor: 4.813

2.  A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging.

Authors:  Allison E Hainline; Vishwesh Nath; Prasanna Parvathaneni; Kurt G Schilling; Justin A Blaber; Adam W Anderson; Hakmook Kang; Bennett A Landman
Journal:  Magn Reson Imaging       Date:  2019-03-26       Impact factor: 2.546

3.  Harmonizing 1.5T/3T Diffusion Weighted MRI through Development of Deep Learning Stabilized Microarchitecture Estimators.

Authors:  Vishwesh Nath; Samuel Remedios; Prasanna Parvathaneni; Colin B Hansen; Roza G Bayrak; Camilo Bermudez; Justin A Blaber; Kurt G Schilling; Vaibhav A Janve; Yurui Gao; Yuankai Huo; Ilwoo Lyu; Owen Williams; Susan Resnick; Lori Beason-Held; Baxter P Rogers; Iwona Stepniewska; Adam W Anderson; Bennett A Landman
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2019-03-15
  3 in total

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