Imperial College London
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Professor Thanos Athanasiou MD PhD MBA FECTS FRCS

Faculty of Medicine, Department of Surgery & Cancer

Professor of Cardiovascular Sciences
 
 
 
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Contact

 

t.athanasiou

 
 
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Location

 

1022Queen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Olchanyi:2020:10.1016/j.jbiomech.2020.110196,
author = {Olchanyi, MD and Sadikov, A and Frattolin, J and Sasidharan, S and Salmasi, MY and Edgar, LT and Jarral, O and Athanasiou, T and Moore, JE},
doi = {10.1016/j.jbiomech.2020.110196},
journal = {Journal of Biomechanics},
pages = {1--11},
title = {Validation of markerless strain-field optical tracking approach for soft tissue mechanical assessment.},
url = {http://dx.doi.org/10.1016/j.jbiomech.2020.110196},
volume = {116},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Strain measurement during tissue deformation is crucial to elucidate relationships between mechanical loading and functional changes in biological tissues. When combined with specified loading conditions, assessment of strain fields can be used to craft models that accurately represent the mechanical behavior of soft tissue. Inhomogeneities in strain fields may be indicative of normal or pathological inhomogeneities in mechanical properties. In this study, we present the validation of a modified Demons registration algorithm for non-contact, marker-less strain measurement of tissue undergoing uniaxial loading. We validate the algorithm on a synthetic dataset composed of artificial deformation fields applied to a speckle image, as well as images of aortic sections of varying perceptual quality. Initial results indicate that Demons outperforms recent Optical Flow and Digital Image Correlation methods in terms of accuracy and robustness to low image quality, with similar runtimes. Demons achieves at least 8% lower maximal deviation from ground truth on 50% biaxial and shear strain applied to aortic images. To illustrate utility, we quantified strain fields of multiple human aortic specimens undergoing uniaxial tensile testing, noting the formation of strain concentrations in areas of rupture. The modified Demons algorithm captured a large range of strains (up to 50%) and provided spatially resolved strain fields that could be useful in the assessment of soft tissue pathologies.
AU  - Olchanyi,MD
AU  - Sadikov,A
AU  - Frattolin,J
AU  - Sasidharan,S
AU  - Salmasi,MY
AU  - Edgar,LT
AU  - Jarral,O
AU  - Athanasiou,T
AU  - Moore,JE
DO  - 10.1016/j.jbiomech.2020.110196
EP  - 11
PY  - 2020///
SN  - 0021-9290
SP  - 1
TI  - Validation of markerless strain-field optical tracking approach for soft tissue mechanical assessment.
T2  - Journal of Biomechanics
UR  - http://dx.doi.org/10.1016/j.jbiomech.2020.110196
UR  - https://www.ncbi.nlm.nih.gov/pubmed/33422728
UR  - https://www.sciencedirect.com/science/article/pii/S0021929020306205?via%3Dihub
UR  - http://hdl.handle.net/10044/1/85741
VL  - 116
ER  -
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