Literature DB >> 28971512

Reduced acoustic noise in diffusion tensor imaging on a compact MRI system.

Ek T Tan1, Christopher J Hardy1, Yunhong Shu2, Myung-Ho In2, Arnaud Guidon3, John Huston2, Matt A Bernstein2, Thomas K F Foo1.   

Abstract

PURPOSE: To investigate the feasibility of substantially reducing acoustic noise while performing diffusion tensor imaging (DTI) on a compact 3T (C3T) MRI scanner equipped with a 42-cm inner-diameter asymmetric gradient.
METHODS: A-weighted acoustic measurements were made using 10 mT/m-amplitude sinusoidal waveforms, corresponding to echo-planar imaging (EPI) echo spacing of 0.25 to 5.0 ms, on a conventional, whole-body 3T MRI and on the C3T. Acoustic measurements of DTI with trapezoidal EPI waveforms were then made at peak gradient performance on the C3T (80 mT/m amplitude, 700 T/m/s slew rate) and at derated performance (33 mT/m, 10 to 50 T/m/s) for acoustic noise reduction. DTI was acquired in two different phantoms and in seven human subjects, with and without gradient-derating corresponding to multi- and single-shot acquisitions, respectively.
RESULTS: Sinusoidal waveforms on the C3T were quieter by 8.5 to 15.6 A-weighted decibels (dBA) on average as compared to the whole-body MRI. The derated multishot DTI acquisition noise level was only 8.7 dBA (at 13 T/m/s slew rate) above ambient, and was quieter than non-derated, single-shot DTI by 22.3 dBA; however, the scan time was almost quadrupled. Although derating resulted in negligible diffusivity differences in the phantoms, small biases in diffusivity measurements were observed in human subjects (apparent diffusion coefficient = +9.3 ± 8.8%, fractional anisotropy = +3.2 ± 11.2%, radial diffusivity = +9.4 ± 16.8%, parallel diffusivity = +10.3 ± 8.4%).
CONCLUSION: The feasibility of achieving reduced acoustic noise levels with whole-brain DTI on the C3T MRI was demonstrated. Magn Reson Med 79:2902-2911, 2018.
© 2017 International Society for Magnetic Resonance in Medicine. © 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  compact 3T; diffusion tensor imaging; head-only gradient; silent MRI

Mesh:

Year:  2017        PMID: 28971512      PMCID: PMC5843507          DOI: 10.1002/mrm.26949

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


  44 in total

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Authors:  D L Price; J P De Wilde; A M Papadaki; J S Curran; R I Kitney
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Review 2.  Local head gradient coils: window(s) of opportunity.

Authors:  Eric C Wong
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3.  Influence of gradient acoustic noise on fMRI response in the human visual cortex.

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4.  Functional MRI of brain activation induced by scanner acoustic noise.

Authors:  P A Bandettini; A Jesmanowicz; J Van Kylen; R M Birn; J S Hyde
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5.  Characterization and prediction of gradient acoustic noise in MR imagers.

Authors:  R A Hedeen; W A Edelstein
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6.  Improved correction for gradient nonlinearity effects in diffusion-weighted imaging.

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7.  High slew-rate head-only gradient for improving distortion in echo planar imaging: Preliminary experience.

Authors:  Ek T Tan; Seung-Kyun Lee; Paul T Weavers; Dominic Graziani; Joseph E Piel; Yunhong Shu; John Huston; Matt A Bernstein; Thomas K F Foo
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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
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9.  Peripheral nerve stimulation characteristics of an asymmetric head-only gradient coil compatible with a high-channel-count receiver array.

Authors:  Seung-Kyun Lee; Jean-Baptiste Mathieu; Dominic Graziani; Joseph Piel; Eric Budesheim; Eric Fiveland; Christopher J Hardy; Ek Tsoon Tan; Bruce Amm; Thomas K-F Foo; Matt A Bernstein; John Huston; Yunhong Shu; John F Schenck
Journal:  Magn Reson Med       Date:  2015-12-02       Impact factor: 4.668

10.  Quiet diffusion-weighted head scanning: Initial clinical evaluation in ischemic stroke patients at 1.5T.

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Journal:  J Magn Reson Imaging       Date:  2019-05-20       Impact factor: 4.813

2.  Automatic Segmentation of Magnetic Resonance Images of Severe Patients with Advanced Liver Cancer and the Molecular Mechanism of Emodin-Induced Apoptosis of HepG2 Cells under the Deep Learning.

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Review 3.  The sensitivity of diffusion MRI to microstructural properties and experimental factors.

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