| Contrast detection in fluid-saturated media with magnetic resonance poroelastography. | |
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MedLine Citation:
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PMID: 20831058 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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PURPOSE: Recent interest in the poroelastic behavior of tissues has led to the development of magnetic resonance poroelastography (MRPE) as an alternative to single-phase MR elastographic image reconstruction. In addition to the elastic parameters (i.e., Lamé's constants) commonly associated with magnetic resonance elastography (MRE), MRPE enables estimation of the time-harmonic pore-pressure field induced by external mechanical vibration. METHODS: This study presents numerical simulations that demonstrate the sensitivity of the computed displacement and pore-pressure fields to a priori estimates of the experimentally derived model parameters. In addition, experimental data collected in three poroelastic phantoms are used to assess the quantitative accuracy of MR poroelastographic imaging through comparisons with both quasistatic and dynamic mechanical tests. RESULTS: The results indicate hydraulic conductivity to be the dominant parameter influencing the deformation behavior of poroelastic media under conditions applied during MRE. MRPE estimation of the matrix shear modulus was bracketed by the values determined from independent quasistatic and dynamic mechanical measurements as expected, whereas the contrast ratios for embedded inclusions were quantitatively similar (10%-15% difference between the reconstructed images and the mechanical tests). CONCLUSIONS: The findings suggest that the addition of hydraulic conductivity and a viscoelastic solid component as parameters in the reconstruction may be warranted. |
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Authors:
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Phillip R Perriñez; Adam J Pattison; Francis E Kennedy; John B Weaver; Keith D Paulsen |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Medical physics Volume: 37 ISSN: 0094-2405 ISO Abbreviation: Med Phys Publication Date: 2010 Jul |
Date Detail:
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Created Date: 2010-09-13 Completed Date: 2010-09-29 Revised Date: 2011-08-01 |
Medline Journal Info:
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Nlm Unique ID: 0425746 Medline TA: Med Phys Country: United States |
Other Details:
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Languages: eng Pagination: 3518-26 Citation Subset: IM |
Affiliation:
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Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755, USA. phillip.r.perrinez@dartmouth.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Elasticity Imaging Techniques
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methods* Image Processing, Computer-Assisted / methods* Models, Biological Phantoms, Imaging Porosity Reproducibility of Results Shear Strength Soy Foods |
| Grant Support | |
ID/Acronym/Agency:
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P01 CA080139-09/CA/NCI NIH HHS; R01 EB004632-04/EB/NIBIB NIH HHS |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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