Literature DB >> 12939764

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

R Bammer1, M Markl, A Barnett, B Acar, M T Alley, N J Pelc, G H Glover, M E Moseley.   

Abstract

Nonuniformities of magnetic field gradients can cause serious artifacts in diffusion imaging. While it is well known that nonlinearities of the imaging gradients lead to image warping, those imperfections can also cause spatially dependent errors in the direction and magnitude of the diffusion encoding. This study shows that the potential errors in diffusion imaging are considerable. Further, we show that retrospective corrections can be applied to reduce these errors. A general mathematical framework was formulated to characterize the contribution of gradient nonuniformities to diffusion experiments. The gradient field was approximated using spherical harmonic expansion, and this approximation was employed (after geometric distortions were eliminated) to predict and correct the errors in diffusion encoding. Before the corrections were made, the experiments clearly revealed marked deviations of the calculated diffusivity for fields of view (FOVs) generally used in diffusion experiments. These deviations were most significant farther away from the magnet's isocenter. For an FOV of 25 cm, the resultant errors in absolute diffusivity ranged from approximately -10% to +20%. Within the same FOV, the diffusion-encoding direction and the orientation of the calculated eigenvectors can be significantly altered if the perturbations by the gradient nonuniformities are not considered. With the proposed correction scheme, most of the errors introduced by gradient nonuniformities can be removed. Copyright 2003 Wiley-Liss, Inc.

Mesh:

Year:  2003        PMID: 12939764     DOI: 10.1002/mrm.10545

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


  58 in total

1.  Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling.

Authors:  Óscar Peña-Nogales; Yuxin Zhang; Xiaoke Wang; Rodrigo de Luis-Garcia; Santiago Aja-Fernández; James H Holmes; Diego Hernando
Journal:  Magn Reson Med       Date:  2018-11-05       Impact factor: 4.668

2.  Practical estimate of gradient nonlinearity for implementation of apparent diffusion coefficient bias correction.

Authors:  Dariya I Malkyarenko; Thomas L Chenevert
Journal:  J Magn Reson Imaging       Date:  2014-12       Impact factor: 4.813

3.  A method for calibrating diffusion gradients in diffusion tensor imaging.

Authors:  Yu-Chien Wu; Andrew L Alexander
Journal:  J Comput Assist Tomogr       Date:  2007 Nov-Dec       Impact factor: 1.826

4.  Analysis and correction of gradient nonlinearity bias in apparent diffusion coefficient measurements.

Authors:  Dariya I Malyarenko; Brian D Ross; Thomas L Chenevert
Journal:  Magn Reson Med       Date:  2014-03       Impact factor: 4.668

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.  Stability of Gradient Field Corrections for Quantitative Diffusion MRI.

Authors:  Baxter P Rogers; Justin Blaber; E Brian Welch; Zhaohua Ding; Adam W Anderson; Bennett A Landman
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-03-09

7.  Distortion-free imaging: A double encoding method (DIADEM) combined with multiband imaging for rapid distortion-free high-resolution diffusion imaging on a compact 3T with high-performance gradients.

Authors:  Myung-Ho In; Ek Tsoon Tan; Joshua D Trzasko; Yunhong Shu; Daehun Kang; Uten Yarach; Shengzhen Tao; Erin M Gray; John Huston; Matt A Bernstein
Journal:  J Magn Reson Imaging       Date:  2019-05-20       Impact factor: 4.813

8.  Gradient nonlinearity correction to improve apparent diffusion coefficient accuracy and standardization in the american college of radiology imaging network 6698 breast cancer trial.

Authors:  David C Newitt; Ek T Tan; Lisa J Wilmes; Thomas L Chenevert; John Kornak; Luca Marinelli; Nola Hylton
Journal:  J Magn Reson Imaging       Date:  2015-03-11       Impact factor: 4.813

9.  Automatic Segmentation of the Dorsal Claustrum in Humans Using in vivo High-Resolution MRI.

Authors:  Shai Berman; Roey Schurr; Gal Atlan; Ami Citri; Aviv A Mezer
Journal:  Cereb Cortex Commun       Date:  2020-09-01

10.  Reprint of "Quantitative evaluation of brain development using anatomical MRI and diffusion tensor imaging".

Authors:  Kenichi Oishi; Andreia V Faria; Shoko Yoshida; Linda Chang; Susumu Mori
Journal:  Int J Dev Neurosci       Date:  2013-12-02       Impact factor: 2.457

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