Reverberant magnetic resonance elastographic imaging using a single mechanical driver

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Author(s)Kabir, Irteza Enan
Author(s)Caban-Rivera, Diego A.
Author(s)Ormachea, Juvenal
Author(s)Parker, Kevin J.
Author(s)Johnson, Curtis L.
Author(s)Doyley, Marvin M.
Date Accessioned2023-05-16T17:49:48Z
Date Available2023-05-16T17:49:48Z
Publication Date2023-02-27
DescriptionThis article was originally published in Physics in Medicine & Biology. The version of record is available at: https://doi.org/10.1088/1361-6560/acbbb7
AbstractReverberant elastography provides fast and robust estimates of shear modulus; however, its reliance on multiple mechanical drivers hampers clinical utility. In this work, we hypothesize that for constrained organs such as the brain, reverberant elastography can produce accurate magnetic resonance elastograms with a single mechanical driver. To corroborate this hypothesis, we performed studies on healthy volunteers (n = 3); and a constrained calibrated brain phantom containing spherical inclusions with diameters ranging from 4–18 mm. In both studies (i.e. phantom and clinical), imaging was performed at frequencies of 50 and 70 Hz. We used the accuracy and contrast-to-noise ratio performance metrics to evaluate reverberant elastograms relative to those computed using the established subzone inversion method. Errors incurred in reverberant elastograms varied from 1.3% to 16.6% when imaging at 50 Hz and 3.1% and 16.8% when imaging at 70 Hz. In contrast, errors incurred in subzone elastograms ranged from 1.9% to 13% at 50 Hz and 3.6% to 14.9% at 70 Hz. The contrast-to-noise ratio of reverberant elastograms ranged from 63.1 to 73 dB compared to 65 to 66.2 dB for subzone elastograms. The average global brain shear modulus estimated from reverberant and subzone elastograms was 2.36 ± 0.07 kPa and 2.38 ± 0.11 kPa, respectively, when imaging at 50 Hz and 2.70 ± 0.20 kPa and 2.89 ± 0.60 kPa respectively, when imaging at 70 Hz. The results of this investigation demonstrate that reverberant elastography can produce accurate, high-quality elastograms of the brain with a single mechanical driver.
SponsorThis work was supported by the National Institute of Biomedical Imaging and Bioengineering grant R01-EB032337. Special thanks to Jonathan Stone and Michael Wilson for the phantom mold.
CitationKabir, Irteza Enan, Diego A Caban-Rivera, Juvenal Ormachea, Kevin J Parker, Curtis L Johnson, and Marvin M Doyley. “Reverberant Magnetic Resonance Elastographic Imaging Using a Single Mechanical Driver.” Physics in Medicine & Biology 68, no. 5 (2023): 055015. https://doi.org/10.1088/1361-6560/acbbb7.
ISSN1361-6560
URLhttps://udspace.udel.edu/handle/19716/32753
Languageen_US
PublisherPhysics in Medicine & Biology
Keywordsmagnetic resonance elastography
Keywordsmagnetic resonance imaging
Keywordselastography
Keywordsreverberant shear wave
Keywordsbrain imaging
Keywordsphantom
TitleReverberant magnetic resonance elastographic imaging using a single mechanical driver
TypeArticle
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