Literature DB >> 25049224

A microchannel flow model for soft tissue elasticity.

K J Parker1.   

Abstract

A number of advances, including imaging of tissue displacements, have increased our ability to make measurements of tissue elastic properties of animal and human tissues. Accordingly, the question is increasingly asked, 'should our data be fit to a viscoelastic model, and if so which one?' In this paper we focus solely on soft tissues in a functional (non-pathological) state, and develop a model of elastic behavior that is based on the flow of viscous fluids through the extensive network of tissue microchannels in response to applied stress. This behavior can be captured in a 2-parameter model, and the model appears to predict the stress-relaxation behavior and the dispersive shear wave behavior of bovine liver specimens and other soft tissues and phantoms. The relationship of the microchannel flow model to more traditional models is also examined.

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Year:  2014        PMID: 25049224     DOI: 10.1088/0031-9155/59/15/4443

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


  11 in total

1.  Surface deformation and reaction force estimation of liver tissue based on a novel nonlinear mass-spring-damper viscoelastic model.

Authors:  Árpád Takács; Imre J Rudas; Tamás Haidegger
Journal:  Med Biol Eng Comput       Date:  2015-12-30       Impact factor: 2.602

2.  Towards a consensus on rheological models for elastography in soft tissues.

Authors:  K J Parker; T Szabo; S Holm
Journal:  Phys Med Biol       Date:  2019-10-31       Impact factor: 3.609

3.  Imaging brain function with simultaneous BOLD and viscoelasticity contrast: fMRI/fMRE.

Authors:  Patricia S Lan; Kevin J Glaser; Richard L Ehman; Gary H Glover
Journal:  Neuroimage       Date:  2020-02-01       Impact factor: 6.556

4.  Analyzing acoustoelastic effect of shear wave elastography data for perfused and hydrated soft tissues using a macromolecular network inspired model.

Authors:  D Rosen; J Jiang
Journal:  J Biomech       Date:  2019-09-30       Impact factor: 2.712

Review 5.  Advances in Magnetic Resonance Elastography of Liver.

Authors:  Jiahui Li; Sudhakar Kundapur Venkatesh; Meng Yin
Journal:  Magn Reson Imaging Clin N Am       Date:  2020-06-06       Impact factor: 2.266

6.  Comprehensive experimental assessments of rheological models' performance in elastography of soft tissues.

Authors:  Sedigheh S Poul; Juvenal Ormachea; Gary R Ge; Kevin J Parker
Journal:  Acta Biomater       Date:  2022-05-05       Impact factor: 10.633

7.  Hypercapnia increases brain viscoelasticity.

Authors:  Stefan Hetzer; Florian Dittmann; Karl Bormann; Sebastian Hirsch; Axel Lipp; Danny Jj Wang; Jürgen Braun; Ingolf Sack
Journal:  J Cereb Blood Flow Metab       Date:  2018-09-05       Impact factor: 6.200

8.  Fat and fibrosis as confounding cofactors in viscoelastic measurements of the liver.

Authors:  S S Poul; K J Parker
Journal:  Phys Med Biol       Date:  2021-02-11       Impact factor: 3.609

9.  Spring-damper equivalents of the fractional, poroelastic, and poroviscoelastic models for elastography.

Authors:  Sverre Holm
Journal:  NMR Biomed       Date:  2017-11-27       Impact factor: 4.044

10.  Normal and Fibrotic Rat Livers Demonstrate Shear Strain Softening and Compression Stiffening: A Model for Soft Tissue Mechanics.

Authors:  Maryna Perepelyuk; LiKang Chin; Xuan Cao; Anne van Oosten; Vivek B Shenoy; Paul A Janmey; Rebecca G Wells
Journal:  PLoS One       Date:  2016-01-06       Impact factor: 3.240

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