Literature DB >> 29877194

Phantom evaluations of nonlinear inversion MR elastography.

Ligin M Solamen1, Matthew D McGarry, Likun Tan, John B Weaver, Keith D Paulsen.   

Abstract

This study evaluated non-linear inversion MRE (NLI-MRE) based on viscoelastic governing equations to determine its sensitivity to small, low contrast inclusions and interface changes in shear storage modulus and damping ratio. Reconstruction parameters identical to those used in recent in vivo MRE studies of mechanical property variations in small brain structures were applied. NLI-MRE was evaluated on four phantoms with contrast in stiffness and damping ratio. Image contrast to noise ratio was assessed as a function of inclusion diameter and property contrast, and edge and line spread functions were calculated as measures of imaging resolution. Phantoms were constructed from silicone, agar, and tofu materials. Reconstructed property estimates were compared with independent mechanical testing using dynamic mechanical analysis (DMA). The NLI-MRE technique detected inclusions as small as 8 mm with a stiffness contrast as low as 14%. Storage modulus images also showed an interface edge response distance of 11 mm. Damping ratio images distinguished inclusions with a diameter as small as 8 mm, and yielded an interface edge response distance of 10 mm. Property differences relative to DMA tests were in the 15%-20% range in most cases. In this study, NLI-MRE storage modulus estimates resolved the smallest inclusion with the lowest stiffness contrast, and spatial resolution of attenuation parameter images was quantified for the first time. These experiments and image quality metrics establish quantitative guidelines for the accuracy expected in vivo for MRE images of small brain structures, and provide a baseline for evaluating future improvements to the NLI-MRE pipeline.

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Year:  2018        PMID: 29877194      PMCID: PMC6095192          DOI: 10.1088/1361-6560/aacb08

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  53 in total

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5.  An octahedral shear strain-based measure of SNR for 3D MR elastography.

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  8 in total

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2.  Impact of material homogeneity assumption on cortical stiffness estimates by MR elastography.

Authors:  Jonathan M Scott; KowsalyaDevi Pavuluri; Joshua D Trzasko; Armando Manduca; Matthew L Senjem; John Huston; Richard L Ehman; Matthew C Murphy
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4.  Evaluation of cerebral cortex viscoelastic property estimation with nonlinear inversion magnetic resonance elastography.

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Journal:  Phys Med Biol       Date:  2022-04-15       Impact factor: 4.174

5.  Brain Stiffness Relates to Dynamic Balance Reactions in Children With Cerebral Palsy.

Authors:  Grace McIlvain; James B Tracy; Charlotte A Chaze; Drew A Petersen; Gabrielle M Villermaux; Henry G Wright; Freeman Miller; Jeremy R Crenshaw; Curtis L Johnson
Journal:  J Child Neurol       Date:  2020-03-23       Impact factor: 1.987

6.  Effect of Aging on the Viscoelastic Properties of Hippocampal Subfields Assessed with High-Resolution MR Elastography.

Authors:  Peyton L Delgorio; Lucy V Hiscox; Ana M Daugherty; Faria Sanjana; Ryan T Pohlig; James M Ellison; Christopher R Martens; Hillary Schwarb; Matthew D J McGarry; Curtis L Johnson
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7.  Mechanical property alterations across the cerebral cortex due to Alzheimer's disease.

Authors:  Lucy V Hiscox; Curtis L Johnson; Matthew D J McGarry; Helen Marshall; Craig W Ritchie; Edwin J R van Beek; Neil Roberts; John M Starr
Journal:  Brain Commun       Date:  2019-12-17

8.  Gradient Based Elastic Property Reconstruction in Digital Image Correlation Elastography.

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  8 in total

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