Literature DB >> 24261340

Multi-component modelling of human brain tissue: a contribution to the constitutive and computational description of deformation, flow and diffusion processes with application to the invasive drug-delivery problem.

Wolfgang Ehlers1, Arndt Wagner.   

Abstract

Human brain tissue is complex and multi-component in nature. It consists of an anisotropic hyperelastic solid material composed of tissue cells and blood vessel walls. Brain tissue is permeated by two viscous pore liquids, the interstitial fluid and the blood. Both liquids are mobile within the tissue and exhibit a significant anisotropic perfusion behaviour. To model this complex aggregate, the well-founded Theory of Porous Media, a continuum-mechanical approach for the description of multi-component aggregates, is used. To include microscopic information, the model is enhanced by tissue characteristics obtained from medical imaging techniques. Moreover, the model is applied to invasive drug-delivery strategies, i.e. the direct extra-vascular infusion of therapeutic agents. For this purpose, the overall interstitial fluid is treated as a real two-component mixture of a liquid solvent and a dissolved therapeutic solute. Finally, the continuum-mechanical model results in a set of strongly coupled partial differential equations which are spatially discretised using mixed finite elements and solved in a monolithic manner with an implicit Euler time-integration scheme. Numerical examples demonstrate the applicability of the presented model.

Entities:  

Keywords:  Theory of Porous Media; anisotropy; brain tissue; extra-vascular drug infusion; finite deformations; multi-component modelling

Mesh:

Year:  2013        PMID: 24261340     DOI: 10.1080/10255842.2013.853754

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  9 in total

1.  Smoothed particle hydrodynamics simulation of biphasic soft tissue and its medical applications.

Authors:  Yi-Jui Chang; Peyman Benharash; Erik P Dutson; Jeff D Eldredge
Journal:  Med Biol Eng Comput       Date:  2021-01-08       Impact factor: 2.602

2.  Multiphasic modelling and computation of metastatic lung-cancer cell proliferation and atrophy in brain tissue based on experimental data.

Authors:  Wolfgang Ehlers; Markus Morrison Rehm; Patrick Schröder; Daniela Stöhr; Arndt Wagner
Journal:  Biomech Model Mechanobiol       Date:  2021-12-17

3.  On the microstructural origin of brain white matter hydraulic permeability.

Authors:  Marco Vidotto; Andrea Bernardini; Marco Trovatelli; Elena De Momi; Daniele Dini
Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-07       Impact factor: 11.205

Review 4.  Methods to measure, model and manipulate fluid flow in brain.

Authors:  Krishnashis Chatterjee; Cora M Carman-Esparza; Jennifer M Munson
Journal:  J Neurosci Methods       Date:  2019-12-12       Impact factor: 2.390

Review 5.  Mechanics of the brain: perspectives, challenges, and opportunities.

Authors:  Alain Goriely; Marc G D Geers; Gerhard A Holzapfel; Jayaratnam Jayamohan; Antoine Jérusalem; Sivabal Sivaloganathan; Waney Squier; Johannes A W van Dommelen; Sarah Waters; Ellen Kuhl
Journal:  Biomech Model Mechanobiol       Date:  2015-02-26

Review 6.  The need for mathematical modelling of spatial drug distribution within the brain.

Authors:  Esmée Vendel; Vivi Rottschäfer; Elizabeth C M de Lange
Journal:  Fluids Barriers CNS       Date:  2019-05-16

7.  Improving the Prediction of Local Drug Distribution Profiles in the Brain with a New 2D Mathematical Model.

Authors:  E Vendel; V Rottschäfer; E C M de Lange
Journal:  Bull Math Biol       Date:  2018-08-08       Impact factor: 1.758

8.  Integrating Diffusion Tensor Imaging and Neurite Orientation Dispersion and Density Imaging to Improve the Predictive Capabilities of CED Models.

Authors:  Marco Vidotto; Matteo Pederzani; Antonella Castellano; Valentina Pieri; Andrea Falini; Daniele Dini; Elena De Momi
Journal:  Ann Biomed Eng       Date:  2020-09-03       Impact factor: 3.934

Review 9.  Insights into Infusion-Based Targeted Drug Delivery in the Brain: Perspectives, Challenges and Opportunities.

Authors:  Asad Jamal; Tian Yuan; Stefano Galvan; Antonella Castellano; Marco Riva; Riccardo Secoli; Andrea Falini; Lorenzo Bello; Ferdinando Rodriguez Y Baena; Daniele Dini
Journal:  Int J Mol Sci       Date:  2022-03-15       Impact factor: 5.923

  9 in total

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