{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Hannum AJ"],"funding":["NICHD NIH HHS","NIBIB NIH HHS","NIA NIH HHS","NINDS NIH HHS","National Institutes of Health","NIGMS NIH HHS"],"pagination":["1313-1328"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8776601"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["87(3)"],"pubmed_abstract":["Purpose
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 correlat"],"journal":["Magnetic resonance in medicine"],"pubmed_title":["Correlated noise in brain magnetic resonance elastography."],"pmcid":["PMC8776601"],"funding_grant_id":["P20 GM103446","R01‐AG058853","F31 HD103361","R01‐EB027577","U01‐NS112120","F31‐HD103361","P20‐GM103446","R01 EB027577","U01 NS112120","R01 AG058853"],"pubmed_authors":["Sowinski D","McIlvain G","McGarry MDJ","Johnson CL","Hannum AJ"],"additional_accession":[]},"is_claimable":false,"name":"Correlated noise in brain magnetic resonance elastography.","description":"Purpose
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 correlat","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Mar","modification":"2025-04-04T21:44:01.504Z","creation":"2025-04-04T21:44:01.504Z"},"accession":"S-EPMC8776601","cross_references":{"pubmed":["34687069"],"doi":["10.1002/mrm.29050"]}}