ArticleBiomedical optics express2019
Handheld probe for quantitative micro-elastography.
Article in Biomedical optics express, 2019. 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
- A wireless and handheld optical palpation imaging probe for use in breast-conserving surgery.APL bioengineering · 2026Article
- A-scan sequence transformers for palpation with optical coherence elastography.Biomedical optics express · 2025Article
- A co-registration method to validateHeliyon · 2025Article
- A novel stress sensor enables accurate estimation of micro-scale tissue mechanics in quantitative micro-elastography.APL bioengineering · 2024Article
- VP-net: an end-to-end deep learning network for elastic wave velocity prediction in human skinFrontiers in bioengineering and biotechnology · 2024Article
- In vivo characterisation of field pea stem wall thickness using optical coherence tomography.Plant methods · 2023Article
- 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
- Three-dimensional mechanical characterization of murine skeletal muscle using quantitative micro-elastography.Biomedical optics express · 2022Article
- Analysis of strain estimation methods in phase-sensitive compression optical coherence elastography.Biomedical optics express · 2022Article
- Nondestructive testing of native and tissue-engineered medical products: adding numbers to pictures.Trends in biotechnology · 2022Review
- Analysis of sensitivity in quantitative micro-elastography.Biomedical optics express · 2021Article
- Biomechanical sensing ofTheranostics · 2021Article
- Nearly-incompressible transverse isotropy (NITI) of cornea elasticity: model and experiments with acoustic micro-tapping OCE.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Optical coherence elastography (OCE) has been proposed for a range of clinical applications. However, the majority of these studies have been performed using bulky, lab-based imaging systems. A compact, handheld imaging probe would accelerate clinical translation, however, to date, this had been inhibited by the slow scan rates of compact devices and the motion artifact induced by the user's hand. In this paper, we present a proof-of-concept, handheld quantitative micro-elastography (QME) probe capable of scanning a 6 × 6 × 1 mm volume of tissue in 3.4 seconds. This handheld probe is enabled by a novel QME acquisition protocol that incorporates a custom bidirectional scan pattern driving a microelectromechanical system (MEMS) scanner, synchronized with the sample deformation induced by an annular PZT actuator. The custom scan pattern reduces the total acquisition time and the time difference between B-scans used to generate displacement maps, minimizing the impact of motion artifact. We test the feasibility of the handheld QME probe on a tissue-mimicking silicone phantom, demonstrating comparable image quality to a bench-mounted setup. In addition, we present the first handheld QME scans performed on human breast tissue specimens. For each specimen, quantitative micro-elastograms are co-registered with, and validated by, histology, demonstrating the ability to distinguish stiff cancerous tissue from surrounding soft benign tissue.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.