Handheld volumetric manual compression-based quantitative microelastography

Qi Fang, Luke Frewer, Renate Zilkens, Brooke Krajancich, Andrea Curatolo, Lixin Chin, Ken Y. Foo, Devina D. Lakhiani, Rowan W. Sanderson, Philip Wijesinghe, James D. Anstie, Benjamin F. Dessauvagie, Bruce Latham, Christobel M. Saunders, Brendan F. Kennedy

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Compression optical coherence elastography (OCE) typically requires a mechanical actuator to impart a controlled uniform strain to the sample. However, for handheld scanning, this adds complexity to the design of the probe and the actuator stroke limits the amount of strain that can be applied. In this work, we present a new volumetric imaging approach that utilizes bidirectional manual compression via the natural motion of the user's hand to induce strain to the sample, realizing compact, actuator-free, handheld compression OCE. In this way, we are able to demonstrate rapid acquisition of three-dimensional quantitative microelastography (QME) datasets of a tissue volume (6 × 6 × 1 mm3) in 3.4 seconds. We characterize the elasticity sensitivity of this freehand manual compression approach using a homogeneous silicone phantom and demonstrate comparable performance to a benchtop mounted, actuator-based approach. In addition, we demonstrate handheld volumetric manual compression-based QME on a tissue-mimicking phantom with an embedded stiff inclusion and on freshly excised human breast specimens from both mastectomy and wide local excision (WLE) surgeries. Tissue results are coregistered with postoperative histology, verifying the capability of our approach to measure the elasticity of tissue and to distinguish stiff tumor from surrounding soft benign tissue.

Original languageEnglish
Article numbere201960196
JournalJournal of Biophotonics
Volume13
Issue number6
DOIs
Publication statusPublished - Jun 2020

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