Estimating viscoelastic, soft material properties using a modified Rayleigh cavitation bubble collapse time
Jin Yang, Alexander McGhee, Griffin Radtke, Mauro Rodriguez, Jr., Christian Franck

TL;DR
This paper introduces a modified Rayleigh collapse time method to estimate viscoelastic properties of soft materials using acoustic signals, enabling measurements in optically opaque tissues without direct visualization.
Contribution
The study develops a new energy-based theoretical framework that allows estimation of soft tissue properties from bubble collapse times without imaging, expanding IMR applicability.
Findings
Collapse time correlates with material stiffness above 10 kPa.
The method provides order-of-magnitude estimates of viscoelastic properties.
High measurement precision is required for very soft materials.
Abstract
Accurate determination of high strain rate (> 10^3 1/s) constitutive properties of soft materials remains a formidable challenge. Albeit recent advancements among experimental techniques, in particular inertial microcavitation rheometry (IMR), the intrinsic requirement to visualize the bubble cavitation dynamics has limited its application to nominally transparent materials. Here, in an effort to address this challenge and to expand the experimental capability of IMR to optically opaque materials, we investigated whether one could use the acoustic signature of the time interval between bubble nucleation and collapse, characterized as the bubble collapse time, to infer the viscoelastic material properties without being able to image the bubble directly in the tissue. By introducing a modified Rayleigh collapse time for soft materials, which is strongly dependent on the stiffness of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUltrasound and Cavitation Phenomena · Microfluidic and Bio-sensing Technologies · Fluid Dynamics and Mixing
