Correlated noise in brain magnetic resonance elastography

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Author(s)Hannum, Ariel J.
Author(s)McIlvain, Grace
Author(s)Sowinski, Damian
Author(s)McGarry, Matthew D. J.
Author(s)Johnson, Curtis L.
Date Accessioned2022-02-23T21:34:22Z
Date Available2022-02-23T21:34:22Z
Publication Date2021-10-22
DescriptionThis is the peer reviewed version of the following article: Hannum, AJ, McIlvain, G, Sowinski, D, McGarry, MDJ, Johnson, CL. Correlated noise in brain magnetic resonance elastography. Magn Reson Med. 2022; 87: 1313– 1328. doi:10.1002/mrm.29050, which has been published in final form at https://doi.org/10.1002/mrm.29050. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.en_US
AbstractPurpose: Magnetic resonance elastography (MRE) uses phase-contrast MRI to generate mechanical property maps of the in vivo brain through imaging of tissue deformation from induced mechanical vibration. The mechanical property estimation process in MRE can be susceptible to noise from physiological and mechanical sources encoded in the phase, which is expected to be highly correlated. This correlated noise has yet to be characterized in brain MRE, and its effects on mechanical property estimates computed using inversion algorithms are undetermined. Methods: To characterize the effects of signal noise in MRE, we conducted 3 experiments quantifying (1) physiomechanical sources of signal noise, (2) physiological noise because of cardiac-induced movement, and (3) impact of correlated noise on mechanical property estimates. We use a correlation length metric to estimate the extent that correlated signal persists in MRE images and demonstrate the effect of correlated noise on property estimates through simulations. Results: We found that both physiological noise and vibration noise were greater than image noise and were spatially correlated across all subjects. Added physiological and vibration noise to simulated data resulted in property maps with higher error than equivalent levels of Gaussian noise. Conclusion: Our work provides the foundation to understand contributors to brain MRE data quality and provides recommendations for future work to correct for signal noise in MRE.en_US
SponsorThis work was supported in part by grants from the National Institutes of Health (R01- EB027577, R01- AG058853, U01- NS112120, and F31- HD103361), the Delaware INBRE Program (P20- GM103446), and the Delaware Rehabilitation Institute.en_US
CitationHannum, AJ, McIlvain, G, Sowinski, D, McGarry, MDJ, Johnson, CL. Correlated noise in brain magnetic resonance elastography. Magn Reson Med. 2022; 87: 1313– 1328. doi:10.1002/mrm.29050en_US
ISSN1522-2594
URLhttps://udspace.udel.edu/handle/19716/30549
Languageen_USen_US
PublisherMagnetic Resonance in Medicineen_US
Keywordsbrainen_US
Keywordsmagnetic resonance elastographyen_US
Keywordsphysiological noiseen_US
Keywordspulsationen_US
Keywordsviscoelasticityen_US
TitleCorrelated noise in brain magnetic resonance elastographyen_US
TypeArticleen_US
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