Abstract
In the present study, we demonstrate that soft tissue fiber architectural maps captured using polarized spatial frequency domain imaging (pSFDI) can be utilized as an effective texture source for DIC-based planar surface strain analyses. Experimental planar biaxial mechanical studies were conducted using pericardium as the exemplar tissue, with simultaneous pSFDI measurements taken. From these measurements, the collagen fiber preferred direction θp was determined at the pixel level over the entire strain range using established methods (https://doi.org/10.1007/s10439-019-02233-0). We then utilized these pixel-level θp maps as a texture source to quantify the deformation gradient tensor F(X, t) as a function of spatial position X within the specimen at time t. Results indicted that that the pSFDI approach produced accurate deformation maps, as validated using both physical markers and conventional particle based method derived from the DIC analysis of the same specimens. We then extended the pSFDI technique to extract the fiber orientation distribution Γ (θ, X, t) as a function of F(X, t) from the pSFDI intensity signal. This was accomplished by developing a calibration procedure to account for the optical behavior of the constituent fibers for the soft tissue being studied. We then demonstrated that the extracted Γ (θ, X, t) was accurately computed in both the referential (i.e. unloaded) and deformed states. Moreover, we noted that the measured Γ (θ, X, t) agreed well with affine kinematic deformation predictions. We also demonstrated this calibration approach could also be effectively used on electrospun biomaterials, underscoring the general utility of the approach. In a final step, using the ability to simultaneously quantify F(X, t) and Γ (θ, X, t) , we examined the effect of deformation and collagen structural measurements on the measurement region size. For pericardial tissues, we determined a critical length of ∼ 8 mm wherein the regional variations sufficiently dissipated. This result has immediate potential in the identification of optimal length scales for meso-scale strain measurement in soft tissues and fibrous biomaterials.
Original language | English (US) |
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Pages (from-to) | 253-277 |
Number of pages | 25 |
Journal | Annals of Biomedical Engineering |
Volume | 50 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2022 |
Externally published | Yes |
Bibliographical note
Funding Information:The authors would like to acknowledge the Moss Heart Foundation and NIH Grant Nos. R01 HL142504,R01 HL073021, and HL129077. The authors also wish to thank Dr Sindre Nordmark Olufsen of the Norwegian University of Science and Technology for support with the µDIC software package.
Funding Information:
The authors would like to acknowledge the Moss Heart Foundation and NIH Grant Nos. R01 HL142504,R01 HL073021, and HL129077. The authors also wish to thank Dr Sindre Nordmark Olufsen of the Norwegian University of Science and Technology for support with the ?DIC software package.
Publisher Copyright:
© 2022, The Author(s) under exclusive licence to Biomedical Engineering Society.
Keywords
- Affine deformation
- Fiber structure
- Optical–mechanical–numerical methods
- Soft tissue mechanics