ArticleBiomedical optics express2021
Analysis of sensitivity in quantitative micro-elastography.
Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Phantoms for use in optical coherence elastography.Journal of biomedical optics · 2026Review
- Protocol to study murine ovarian elasticity and composition in situ by integrating quantitative micro-elastography with light microscopy.STAR protocols · 2026Article
- Development of breast-mimicking phantoms for use in optical coherence elastography.Journal of biomedical optics · 2025Article
- Three-dimensional quantitative micro-elastography reveals alterations in spatial elasticity patterns in murine ovaries during ageing.Communications biology · 2025Article
- Three-dimensional dynamic optical coherence tomography for breast tumor margin assessment.Biomedical optics express · 2025Article
- Design and characterization of an optical phantom for mesoscopic multimodal fluorescence lifetime imaging and optical coherence elastography.Biomedical optics express · 2025Article
- Multimodal mechano-microscopy reveals mechanical phenotypes of breast cancer spheroids in three dimensions.APL bioengineering · 2024Article
- A novel stress sensor enables accurate estimation of micro-scale tissue mechanics in quantitative micro-elastography.APL bioengineering · 2024Article
- Article
- Analysis of friction in quantitative micro-elastography.Biomedical optics express · 2023Article
- Recent advances in optical elastography and emerging opportunities in the basic sciences and translational medicine [Invited].Biomedical optics express · 2023Review
- Integrating a pressure sensor with an OCT handheld probe to facilitate imaging of microvascular information in skin tissue beds.Biomedical optics express · 2022Article
- Three-dimensional mechanical characterization of murine skeletal muscle using quantitative micro-elastography.Biomedical optics express · 2022Article
- Biomechanical assessment of chronic liver injury using quantitative micro-elastography.Biomedical optics express · 2022Article
- Analysis of strain estimation methods in phase-sensitive compression optical coherence elastography.Biomedical optics express · 2022Article
- Introduction to optical coherence elastography: tutorial.Journal of the Optical Society of America. A, Optics, image science, and vision · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative micro-elastography (QME), a variant of compression optical coherence elastography (OCE), is a technique to image tissue elasticity on the microscale. QME has been proposed for a range of applications, most notably tumor margin assessment in breast-conserving surgery. However, QME sensitivity, a key imaging metric, has yet to be systematically analyzed. Consequently, it is difficult to optimize imaging performance and to assess the potential of QME in new application areas. To address this, we present a framework for analyzing sensitivity that incorporates the three main steps in QME image formation: mechanical deformation, its detection using optical coherence tomography (OCT), and signal processing used to estimate elasticity. Firstly, we present an analytical model of QME sensitivity, validated by experimental data, and demonstrate that sub-kPa elasticity sensitivity can be achieved in QME. Using silicone phantoms, we demonstrate that sensitivity is dependent on friction, OCT focus depth, and averaging methods in signal processing. For the first time, we show that whilst lubrication of layer improves accuracy by reducing surface friction, it reduces sensitivity due to the time-dependent effect of lubricant exudation from the layer boundaries resulting in increased friction. Furthermore, we demonstrate how signal processing in QME provides a trade-off between sensitivity and resolution that can be used to optimize imaging performance. We believe that our framework to analyze sensitivity can help to sustain the development of QME and, also, that it can be readily adapted to other OCE techniques.
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Registered trials
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