Literature DB >> 31602086

Consideration of Cerebrospinal Fluid Intensity Variation in Diffusion Weighted MRI.

Colin B Hansen1, Vishwesh Nath1, Allison E Hainline2, Kurt G Schilling3, Prasanna Parvathaneni4, Roza G Bayrak1, Justin A Blaber4, Owen Williams5, Susan Resnick5, Lori Beason-Held5, Okan Irfanoglu6, Carlo Pierpaoli6, Adam W Anderson3,7, Baxter P Rogers3,7, Bennett A Landman1,3,4,7.   

Abstract

Diffusion weighted MRI (DW-MRI) depends on accurate quantification signal intensities that reflect directional apparent diffusion coefficients (ADC). Signal drift and fluctuations during imaging can cause systematic non-linearities that manifest as ADC changes if not corrected. Here, we present a case study on a large longitudinal dataset of typical diffusion tensor imaging. We investigate observed variation in the cerebral spinal fluid (CSF) regions of the brain, which should represent compartments with isotropic diffusivity. The study contains 3949 DW-MRI acquisitions of the human brain with 918 subjects and 542 with repeated scan sessions. We provide an analysis of the inter-scan, inter-session, and intra-session variation and an analysis of the associations with the applied diffusion gradient directions. We investigate a hypothesis that CSF models could be used in lieu of an interspersed minimally diffusion-weighted image (b0) correction. Variation in CSF signal is not largely attributable to within-scan dynamic anatomical changes (3.6%), but rather has substantial variation across scan sessions (10.6%) and increased variation across individuals (26.6%). Unfortunately, CSF intensity is not solely explained by a main drift model or a gradient model, but rather has statistically significant associations with both possible explanations. Further exploration is necessary for CSF drift to be used as an effective harmonization technique.

Entities:  

Keywords:  BLSA; CSF; Diffusion; variation

Year:  2019        PMID: 31602086      PMCID: PMC6786778          DOI: 10.1117/12.2512949

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  8 in total

1.  How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging.

Authors:  Jesper L R Andersson; Stefan Skare; John Ashburner
Journal:  Neuroimage       Date:  2003-10       Impact factor: 6.556

2.  Analysis and generalized correction of the effect of spatial gradient field distortions in diffusion-weighted imaging.

Authors:  R Bammer; M Markl; A Barnett; B Acar; M T Alley; N J Pelc; G H Glover; M E Moseley
Journal:  Magn Reson Med       Date:  2003-09       Impact factor: 4.668

3.  Real-time RF pulse adjustment for B0 drift correction.

Authors:  Thomas Benner; André J W van der Kouwe; John E Kirsch; A Gregory Sorensen
Journal:  Magn Reson Med       Date:  2006-07       Impact factor: 4.668

Review 4.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

5.  Phantom-based field maps for gradient nonlinearity correction in diffusion imaging.

Authors:  Baxter P Rogers; Justin Blaber; Allen T Newton; Colin B Hansen; E Brian Welch; Adam W Anderson; Jeffrey J Luci; Carlo Pierpaoli; Bennett A Landman
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-03

6.  Hierarchical performance estimation in the statistical label fusion framework.

Authors:  Andrew J Asman; Bennett A Landman
Journal:  Med Image Anal       Date:  2014-07-04       Impact factor: 8.545

7.  The importance of correcting for signal drift in diffusion MRI.

Authors:  Sjoerd B Vos; Chantal M W Tax; Peter R Luijten; Sebastien Ourselin; Alexander Leemans; Martijn Froeling
Journal:  Magn Reson Med       Date:  2016-01-29       Impact factor: 4.668

8.  An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging.

Authors:  Jesper L R Andersson; Stamatios N Sotiropoulos
Journal:  Neuroimage       Date:  2015-10-20       Impact factor: 6.556

  8 in total

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