1. A novel stress sensor enables accurate estimation of micro-scale tissue mechanics in quantitative micro-elastography
- Author
-
Kai L. Metzner, Qi Fang, Rowan W. Sanderson, Yen L. Yeow, Celia Green, Farah Abdul-Aziz, Juliana Hamzah, Alireza Mowla, and Brendan F. Kennedy
- Subjects
Biotechnology ,TP248.13-248.65 ,Medical technology ,R855-855.5 - Abstract
Quantitative micro-elastography (QME) is a compression-based optical coherence elastography technique enabling the estimation of tissue mechanical properties on the micro-scale. QME utilizes a compliant layer as an optical stress sensor, placed between an imaging window and tissue, providing quantitative estimation of elasticity. However, the implementation of the layer is challenging and introduces unpredictable friction conditions at the contact boundaries, deteriorating the accuracy and reliability of elasticity estimation. This has largely limited the use of QME to ex vivo studies and is a barrier to clinical translation. In this work, we present a novel implementation by affixing the stress sensing layer to the imaging window and optimizing the layer thickness, enhancing the practical use of QME for in vivo applications by eliminating the requirement for manual placement of the layer, and significantly reducing variations in the friction conditions, leading to substantial improvement in the accuracy and repeatability of elasticity estimation. We performed a systematic validation of the integrated layer, demonstrating >30% improvement in sensitivity and the ability to provide mechanical contrast in a mechanically heterogeneous phantom. In addition, we demonstrate the ability to obtain accurate estimation of elasticity (
- Published
- 2024
- Full Text
- View/download PDF