Literature DB >> 16682233

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

Jaana Hiltunen1, Riitta Hari, Veikko Jousmäki, Kiti Müller, Raimo Sepponen, Raimo Joensuu.   

Abstract

Subjects sense clear mechanical vibrations during diffusion tensor imaging (DTI). These vibrations, likely resulting from diffusion-sensitizing gradients, have been assumed to be of the same strength and phase in all parts of the magnetic resonance imaging (MRI) scanner so that they could be ignored. However, our measurements, carried out from several parts of the MRI scanner and its surroundings using an optical laser-based interferometer, demonstrate an uneven distribution of mechanical vibrations within the scanner. The measurements were performed during DT scanning at 3 T, with various diffusion-weighting parameters, by positioning a phantom in the head coil and/or a human subject on the patient bed. The vibration-related movement was caused by the diffusion-sensitizing gradients and was maximally 0.5 mm with typical settings used in brain imaging. The compensation for eddy currents, done with gradients in our DTI sequence, increased the vibration level by a factor of 1.5 or more with diffusion-weighting parameter b = 1000 s/mm(2) and by a factor of 3 or more with b = 3000 s/mm(2). Mechanical vibrations stayed at an acceptable level with b < or = 1000 s/mm(2), resulting in additional signal losses of 5-17%. Vibration levels might be reduced by adjusting imaging parameters, by modifying the gradient waveforms in the DTI sequence, and by redesigning the mechanics of patient bed to effectively dampen the movements.

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Year:  2006        PMID: 16682233     DOI: 10.1016/j.neuroimage.2006.03.004

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  16 in total

Review 1.  Diffusion tensor MR imaging and fiber tractography: technical considerations.

Authors:  P Mukherjee; S W Chung; J I Berman; C P Hess; R G Henry
Journal:  AJNR Am J Neuroradiol       Date:  2008-03-13       Impact factor: 3.825

2.  Addressing a systematic vibration artifact in diffusion-weighted MRI.

Authors:  Daniel Gallichan; Jan Scholz; Andreas Bartsch; Timothy E Behrens; Matthew D Robson; Karla L Miller
Journal:  Hum Brain Mapp       Date:  2010-02       Impact factor: 5.038

3.  Inductive measurement and encoding of k-space trajectories in MR raw data.

Authors:  Jan Ole Pedersen; Christian G Hanson; Rong Xue; Lars G Hanson
Journal:  MAGMA       Date:  2019-07-30       Impact factor: 2.310

4.  Model for the correction of motion-induced phase errors in multishot diffusion-weighted-MRI of the head: are cardiac-motion-induced phase errors reproducible from beat-to-beat?

Authors:  R L O'Halloran; S Holdsworth; M Aksoy; R Bammer
Journal:  Magn Reson Med       Date:  2011-12-28       Impact factor: 4.668

5.  Investigation of vibration-induced artifact in clinical diffusion-weighted imaging of pediatric subjects.

Authors:  Madison M Berl; Lindsay Walker; Pooja Modi; M Okan Irfanoglu; Joelle E Sarlls; Amritha Nayak; Carlo Pierpaoli
Journal:  Hum Brain Mapp       Date:  2015-09-09       Impact factor: 5.038

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

Authors:  Shireen Elhabian; Yaniv Gur; Clement Vachet; Joseph Piven; Martin Styner; Ilana Leppert; G Bruce Pike; Guido Gerig
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2014-04

7.  Modeling hemodynamic responses in auditory cortex at 1.5 T using variable duration imaging acoustic noise.

Authors:  Shuowen Hu; Olumide Olulade; Javier Gonzalez Castillo; Joseph Santos; Sungeun Kim; Gregory G Tamer; Wen-Ming Luh; Thomas M Talavage
Journal:  Neuroimage       Date:  2009-12-04       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.  Diffusion imaging quality control via entropy of principal direction distribution.

Authors:  Mahshid Farzinfar; Ipek Oguz; Rachel G Smith; Audrey R Verde; Cheryl Dietrich; Aditya Gupta; Maria L Escolar; Joseph Piven; Sonia Pujol; Clement Vachet; Sylvain Gouttard; Guido Gerig; Stephen Dager; Robert C McKinstry; Sarah Paterson; Alan C Evans; Martin A Styner
Journal:  Neuroimage       Date:  2013-05-17       Impact factor: 6.556

10.  Measuring Brain Tissue Integrity during 4 Years Using Diffusion Tensor Imaging.

Authors:  D Ontaneda; K Sakaie; J Lin; X-F Wang; M J Lowe; M D Phillips; R J Fox
Journal:  AJNR Am J Neuroradiol       Date:  2016-09-22       Impact factor: 3.825

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