Li, W., Bird, N. C. and Luo, X. (2017) A pointwise method for identifying biomechanical heterogeneity of the human gallbladder. Frontiers in Physiology, 8, 176. (doi: 10.3389/fphys.2017.00176) (PMID:28408886) (PMCID:PMC5374253)
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Abstract
Identifying the heterogeneous biomechanical property of human gallbladder (GB) walls from non-invasive measurements can have clinical significance in patient-specific modelling and acalculous biliary pain diagnosis. In this article, a pointwise method was proposed to measure the heterogeneity of ten samples of human GB during refilling. Three different points, two on the equator of GB body 90o apart and one on the apex of GB fundus, were chosen to represent the typical regions of interest. The stretches at these points were estimated from ultrasound images of the GB during the bile emptying phase based on an analytical model. The model was validated against the experimental data of a lamb GB. The material parameters at the different points were determined inversely by making use of a structure-based anisotropic constitutive model. This anisotropic model yielded much better accuracy when compared to a number of phenomenologically-based constitutive laws, as demonstrated by its significantly reduced least-square errors in stress curve fitting. The results confirmed that the human GB wall material was heterogeneous, particularly towards the apex region. Our study also suggested that non-uniform wall thickness of the GB was important in determining the material parameters, in particular, on the parameters associated with the properties of the matrix and the longitudinal fibres - the difference could be as large as 20-30% compared to that of the uniform thickness model.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Luo, Professor Xiaoyu and Li, Dr Wenguang |
Authors: | Li, W., Bird, N. C., and Luo, X. |
College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy College of Science and Engineering > School of Mathematics and Statistics > Mathematics |
Journal Name: | Frontiers in Physiology |
Publisher: | Frontiers Media |
ISSN: | 1664-042X |
ISSN (Online): | 1664-042X |
Published Online: | 07 March 2017 |
Copyright Holders: | Copyright © 2017 Li, Bird and Luo |
First Published: | First published in Frontiers in Physiology 8: 176 |
Publisher Policy: | Reproduced under a Creative Commons License |
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