Optical coherence elastography based on inverse compositional Gauss-Newton digital volume correlation with second-order shape function
Journal article
Wu, H., Wang, J., Catano, J.A.A., Sun, C. and Li, Z. (2022). Optical coherence elastography based on inverse compositional Gauss-Newton digital volume correlation with second-order shape function. Optics Express. 30 (23), pp. 41954-41968. https://doi.org/10.1364/OE.473898
Authors | Wu, H., Wang, J., Catano, J.A.A., Sun, C. and Li, Z. |
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Abstract | A digital volume correlation (DVC)-based optical coherence elastography (OCE) method with inverse compositional Gauss-Newton (IC-GN) algorithm and second-order shape function is presented in this study. The systematic measurement errors of displacement and strain from our OCE method were less than 0.2 voxel and 4 × 10−4, respectively. Second-order shape function could better match complex deformation and decrease speckle rigidity-induced error. Compared to conventional methods, our OCE method could track a larger strain range up to 0.095 and reduce relative error by 30-50%. This OCE method has the potential to become an effective tool in characterising mechanical properties of biological tissue. |
Year | 2022 |
Journal | Optics Express |
Journal citation | 30 (23), pp. 41954-41968 |
Publisher | Optica Publishing Group |
ISSN | 1094-4087 |
Digital Object Identifier (DOI) | https://doi.org/10.1364/OE.473898 |
Publication dates | |
31 Oct 2022 | |
Publication process dates | |
Accepted | 26 Sep 2022 |
Deposited | 08 Jan 2024 |
Publisher's version | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/95z8z
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