Literature DB >> 25356195

A PRELIMINARY STUDY ON THE EFFECT OF MOTION CORRECTION ON HARDI RECONSTRUCTION.

Shireen Elhabian1, Yaniv Gur1, Clement Vachet1, Joseph Piven2, Martin Styner3, Ilana Leppert4, G Bruce Pike5, Guido Gerig1.   

Abstract

Post-acquisition motion correction is widely performed in diffusion-weighted imaging (DWI) to guarantee voxel-wise correspondence between DWIs. Whereas this is primarily motivated to save as many scans as possible if corrupted by motion, users do not fully understand the consequences of different types of interpolation schemes on the final analysis. Nonetheless, interpolation might increase the partial volume effect while not preserving the volume of the diffusion profile, whereas excluding poor DWIs may affect the ability to resolve crossing fibers especially with small separation angles. In this paper, we investigate the effect of interpolating diffusion measurements as well as the elimination of bad directions on the reconstructed fiber orientation diffusion functions and on the estimated fiber orientations. We demonstrate such an effect on synthetic and real HARDI datasets. Our experiments demonstrate that the effect of interpolation is more significant with small fibers separation angles where the exclusion of motion-corrupted directions decreases the ability to resolve such crossing fibers.

Entities:  

Keywords:  Diffusion MRI; HARDI; interpolation; motion correction

Year:  2014        PMID: 25356195      PMCID: PMC4209744          DOI: 10.1109/ISBI.2014.6868055

Source DB:  PubMed          Journal:  Proc IEEE Int Symp Biomed Imaging        ISSN: 1945-7928


  22 in total

1.  Age-related decline in brain white matter anisotropy measured with spatially corrected echo-planar diffusion tensor imaging.

Authors:  A Pfefferbaum; E V Sullivan; M Hedehus; K O Lim; E Adalsteinsson; M Moseley
Journal:  Magn Reson Med       Date:  2000-08       Impact factor: 4.668

2.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

3.  High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity.

Authors:  David S Tuch; Timothy G Reese; Mette R Wiegell; Nikos Makris; John W Belliveau; Van J Wedeen
Journal:  Magn Reson Med       Date:  2002-10       Impact factor: 4.668

4.  Correcting eddy current and motion effects by affine whole-brain registrations: evaluation of three-dimensional distortions and comparison with slicewise correction.

Authors:  Siawoosh Mohammadi; Harald E Möller; Harald Kugel; Dirk K Müller; Michael Deppe
Journal:  Magn Reson Med       Date:  2010-10       Impact factor: 4.668

5.  The B-matrix must be rotated when correcting for subject motion in DTI data.

Authors:  Alexander Leemans; Derek K Jones
Journal:  Magn Reson Med       Date:  2009-06       Impact factor: 4.668

6.  Symmetric positive semi-definite Cartesian Tensor fiber orientation distributions (CT-FOD).

Authors:  Yonas T Weldeselassie; Angelos Barmpoutis; M Stella Atkins
Journal:  Med Image Anal       Date:  2012-07-25       Impact factor: 8.545

7.  Quantification of mechanical vibration during diffusion tensor imaging at 3 T.

Authors:  Jaana Hiltunen; Riitta Hari; Veikko Jousmäki; Kiti Müller; Raimo Sepponen; Raimo Joensuu
Journal:  Neuroimage       Date:  2006-05-06       Impact factor: 6.556

8.  Quantitative assessment of motion correction for high angular resolution diffusion imaging.

Authors:  Ken E Sakaie; Mark J Lowe
Journal:  Magn Reson Imaging       Date:  2009-08-19       Impact factor: 2.546

9.  Comprehensive approach for correction of motion and distortion in diffusion-weighted MRI.

Authors:  G K Rohde; A S Barnett; P J Basser; S Marenco; C Pierpaoli
Journal:  Magn Reson Med       Date:  2004-01       Impact factor: 4.668

10.  A hitchhiker's guide to diffusion tensor imaging.

Authors:  José M Soares; Paulo Marques; Victor Alves; Nuno Sousa
Journal:  Front Neurosci       Date:  2013-03-12       Impact factor: 4.677

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  1 in total

Review 1.  Learning to estimate the fiber orientation distribution function from diffusion-weighted MRI.

Authors:  Davood Karimi; Lana Vasung; Camilo Jaimes; Fedel Machado-Rivas; Simon K Warfield; Ali Gholipour
Journal:  Neuroimage       Date:  2021-06-26       Impact factor: 6.556

  1 in total

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