In Vivo Modeling of Biphasic Mechanics in the Brain: A Poroelastic Constitutive Model with Enhanced Structural Description Approach

Objective: The purpose of this investigation is to test whether a poroelastic model with enhanced structure could capture in vivo interstitial pressure dynamics in a brain undergoing mock surgical loads. Methods: Using interstitial pressure data from a porcine study, we use an inverse model in order...

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Main Author: Narasimhan, Saramati
Other Authors: Logan Clements
Format: Others
Language:en
Published: VANDERBILT 2017
Subjects:
Online Access:http://etd.library.vanderbilt.edu/available/etd-11202017-103216/
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spelling ndltd-VANDERBILT-oai-VANDERBILTETD-etd-11202017-1032162017-11-28T05:35:04Z In Vivo Modeling of Biphasic Mechanics in the Brain: A Poroelastic Constitutive Model with Enhanced Structural Description Approach Narasimhan, Saramati Biomedical Engineering Objective: The purpose of this investigation is to test whether a poroelastic model with enhanced structure could capture in vivo interstitial pressure dynamics in a brain undergoing mock surgical loads. Methods: Using interstitial pressure data from a porcine study, we use an inverse model in order to reconstruct these pressures and estimate material properties of the brain tissue. This is done in four distinct reconstruction parameterizations to isolate the influence of the three features studied. These features are the dural septa, the treatment of the ventricles, and treatment of the brain as a saturated media. Results: The approach demonstrates accurate capturing of the interstitial pressure dynamics, pressure gradients, tissue deformation, and the presence of intracranial pressure compartmentalization. Conclusion: This study demonstrates that in order to capture appropriate pressure compartmentalization, interstitial pressure gradients, pressure transient effects, and deformations within the brain, the proposed boundary conditions and structural enhancement coupled with a heterogeneous description invoking partial saturation was needed. Significance: To our knowledge there has not been a systematic study of the influence of anatomical features within brain models. Also, the quality of interstitial pressure fits shown here has not been seen within previous literature. Lastly, the common assumption of saturated tissue is challenged and the noted compliance related to our fits likely reflects remaining anatomical structures not yet captured. Logan Clements Michael I. Miga VANDERBILT 2017-11-27 text application/pdf http://etd.library.vanderbilt.edu/available/etd-11202017-103216/ http://etd.library.vanderbilt.edu/available/etd-11202017-103216/ en restricted I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Vanderbilt University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.
collection NDLTD
language en
format Others
sources NDLTD
topic Biomedical Engineering
spellingShingle Biomedical Engineering
Narasimhan, Saramati
In Vivo Modeling of Biphasic Mechanics in the Brain: A Poroelastic Constitutive Model with Enhanced Structural Description Approach
description Objective: The purpose of this investigation is to test whether a poroelastic model with enhanced structure could capture in vivo interstitial pressure dynamics in a brain undergoing mock surgical loads. Methods: Using interstitial pressure data from a porcine study, we use an inverse model in order to reconstruct these pressures and estimate material properties of the brain tissue. This is done in four distinct reconstruction parameterizations to isolate the influence of the three features studied. These features are the dural septa, the treatment of the ventricles, and treatment of the brain as a saturated media. Results: The approach demonstrates accurate capturing of the interstitial pressure dynamics, pressure gradients, tissue deformation, and the presence of intracranial pressure compartmentalization. Conclusion: This study demonstrates that in order to capture appropriate pressure compartmentalization, interstitial pressure gradients, pressure transient effects, and deformations within the brain, the proposed boundary conditions and structural enhancement coupled with a heterogeneous description invoking partial saturation was needed. Significance: To our knowledge there has not been a systematic study of the influence of anatomical features within brain models. Also, the quality of interstitial pressure fits shown here has not been seen within previous literature. Lastly, the common assumption of saturated tissue is challenged and the noted compliance related to our fits likely reflects remaining anatomical structures not yet captured.
author2 Logan Clements
author_facet Logan Clements
Narasimhan, Saramati
author Narasimhan, Saramati
author_sort Narasimhan, Saramati
title In Vivo Modeling of Biphasic Mechanics in the Brain: A Poroelastic Constitutive Model with Enhanced Structural Description Approach
title_short In Vivo Modeling of Biphasic Mechanics in the Brain: A Poroelastic Constitutive Model with Enhanced Structural Description Approach
title_full In Vivo Modeling of Biphasic Mechanics in the Brain: A Poroelastic Constitutive Model with Enhanced Structural Description Approach
title_fullStr In Vivo Modeling of Biphasic Mechanics in the Brain: A Poroelastic Constitutive Model with Enhanced Structural Description Approach
title_full_unstemmed In Vivo Modeling of Biphasic Mechanics in the Brain: A Poroelastic Constitutive Model with Enhanced Structural Description Approach
title_sort in vivo modeling of biphasic mechanics in the brain: a poroelastic constitutive model with enhanced structural description approach
publisher VANDERBILT
publishDate 2017
url http://etd.library.vanderbilt.edu/available/etd-11202017-103216/
work_keys_str_mv AT narasimhansaramati invivomodelingofbiphasicmechanicsinthebrainaporoelasticconstitutivemodelwithenhancedstructuraldescriptionapproach
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