Estimation of scleral mechanical properties from air-puff optical coherence tomography
Creators
- 1. Spanish National Research Council
Description
We introduce a method to estimate the biomechanical properties of the porcine sclera in intact eye globes ex vivo, using optical coherence tomography that is coupled with an air-puff excitation source, and inverse optimization techniques based on finite element modeling. Air-puff induced tissue deformation was determined at seven different locations on the ocular globe, and the maximum apex deformation, the deformation velocity, and the arc-length during deformation were quantified. In the sclera, the experimental maximum deformation amplitude and the corresponding arc length were dependent on the location of air-puff excitation. The normalized temporal deformation profile of the sclera was distinct from that in the cornea, but similar in all tested scleral locations, suggesting that this profile is independent of variations in scleral thickness. Inverse optimization techniques showed that the estimated scleral elastic modulus ranged from 1.84 ± 0.30 MPa (equatorial inferior) to 6.04 ± 2.11 MPa (equatorial temporal). The use of scleral air-puff imaging holds promise for non-invasively investigating the structural changes in the sclera associated with myopia and glaucoma, and for monitoring potential modulation of scleral stiffness in disease or treatment.
Open Access
Licence Attribution (CC BY)
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Publication Details
Journal article
Journal:
Biomedical optics express
Publisher:
Optica Publishing Group
ISSN:
21567085
Volume:
12
Pages:
6341-6359
Persistent Identifiers
Funding
Financial Support
Narodowa Agencja Wymiany Akademickiej — Grant: NAWA ULAM/2020/1/00176
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Fundacja na rzecz Nauki Polskiej — Grant: MAB/2019/12
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Ministerio de Ciencia, Innovación y Universidades — Grant: IJC2018-037508-I
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L'Oréal-UNESCO "For Women in Science" Spain
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Ministerio de Ciencia, Innovación y Universidades — Grant: CSIC JAE Intro Fellowship
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Horizon 2020 Framework Programme — Grant: H2020-ICT-2017 Ref. 779960
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Ministerio de Ciencia, Innovación y Universidades — Grant: FIS2017-84753-R
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Horizon 2020 Framework Programme — Grant: H-2020-MSCACOFUND-2015 Ref. 713694
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European Research Council — Grant: 2018-ADG-SILKEYE-833106
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References