Literature DB >> 19672943

Theory of Q-ball imaging redux: Implications for fiber tracking.

Alan Barnett1.   

Abstract

Q-ball imaging is widely used to determine fiber directions for fiber tracking. In q-ball imaging the directional dependence of water diffusion in tissue is described by Tuch's orientation distribution function (ODF); a different function, the q-ball orientation distribution function, is measured using high angular resolution magnetic resonance diffusion imaging (HARDI). Tuch's ODF is assumed to be well approximated by the q-ball ODF. In this study it is shown that: 1) the q-ball ODF is not a good approximation to Tuch's ODF; 2) the properties of the q-ball ODF depend strongly on q, the area of the diffusion sensitization gradients; and 3) the q-ball ODF for a composite system is the weighted average of the q-ball ODFs for each subsystem, but the weighting factor is the product of the percent composition and a renormalization factor. In addition, a derivation is presented of the q-ball ODF for a system described by a Gaussian distribution and expressions are derived for both the dependence of the angular resolution on q and for the relation between the angular resolution and the signal loss. These findings might be useful in the design and interpretation of fiber-tracking experiments. (c) 2009 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2009        PMID: 19672943     DOI: 10.1002/mrm.22073

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


  16 in total

1.  Spatial HARDI: improved visualization of complex white matter architecture with Bayesian spatial regularization.

Authors:  Ashish Raj; Christopher Hess; Pratik Mukherjee
Journal:  Neuroimage       Date:  2010-07-27       Impact factor: 6.556

2.  MRI with fibre tracking in Cogan congenital oculomotor apraxia.

Authors:  Laura Merlini; Maria I Vargas; Raoul De Haller; Bénédict Rilliet; Joel Fluss
Journal:  Pediatr Radiol       Date:  2010-05-07

3.  Fingerprinting Orientation Distribution Functions in diffusion MRI detects smaller crossing angles.

Authors:  Steven H Baete; Martijn A Cloos; Ying-Chia Lin; Dimitris G Placantonakis; Timothy Shepherd; Fernando E Boada
Journal:  Neuroimage       Date:  2019-05-16       Impact factor: 6.556

4.  Clustering method for estimating principal diffusion directions.

Authors:  Mohammad-Reza Nazem-Zadeh; Kourosh Jafari-Khouzani; Esmaeil Davoodi-Bojd; Quan Jiang; Hamid Soltanian-Zadeh
Journal:  Neuroimage       Date:  2011-05-27       Impact factor: 6.556

5.  Fasciculography: robust prior-free real-time normalized volumetric neural tract parcellation.

Authors:  Hon Pong Ho; Fei Wang; Xenophon Papademetris; Hilary P Blumberg; Lawrence H Staib
Journal:  IEEE Trans Med Imaging       Date:  2011-09-12       Impact factor: 10.048

6.  A theoretical signal processing framework for linear diffusion MRI: Implications for parameter estimation and experiment design.

Authors:  Divya Varadarajan; Justin P Haldar
Journal:  Neuroimage       Date:  2017-08-19       Impact factor: 6.556

7.  Microstructural correlations of white matter tracts in the human brain.

Authors:  Michael Wahl; Yi-Ou Li; Joshua Ng; Sara C Lahue; Shelly R Cooper; Elliott H Sherr; Pratik Mukherjee
Journal:  Neuroimage       Date:  2010-03-04       Impact factor: 6.556

Review 8.  A review of diffusion tensor magnetic resonance imaging computational methods and software tools.

Authors:  Khader M Hasan; Indika S Walimuni; Humaira Abid; Klaus R Hahn
Journal:  Comput Biol Med       Date:  2010-11-18       Impact factor: 4.589

9.  Linear transforms for Fourier data on the sphere: application to high angular resolution diffusion MRI of the brain.

Authors:  Justin P Haldar; Richard M Leahy
Journal:  Neuroimage       Date:  2013-01-24       Impact factor: 6.556

10.  Radial q-space sampling for DSI.

Authors:  Steven H Baete; Stephen Yutzy; Fernando E Boada
Journal:  Magn Reson Med       Date:  2015-09-12       Impact factor: 4.668

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.