Noncontact estimation of stiffness based on optical coherence elastography under acoustic radiation pressure

Yuki Hashimoto, Yasuaki Monnai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this study, we propose a method of noncontact elastography, which allows us to investigate stiffness of soft structures by combining optical and acoustic modalities. We use optical coherence tomography (OCT) as a means of detecting internal deformation of a sample appearing in response to a mechanical force applied by acoustic radiation pressure. Unlike most of other stiffness sensing, this method can be performed without any contacts between the sample and actuator that generates pressure. To demonstrate the method, we measure the vibration velocity of a uniform phantom made of polyurethane, and characterize the mechanical parameters. We then confirm that the measured and calculated attenuation of the vibration over the depth agree well, which is inaccessible with a conventional laser Doppler vibrometer. This result paves a way to characterize more complex internal structures of soft materials.

Original languageEnglish
Title of host publication2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9840-9845
Number of pages6
ISBN (Electronic)9781728162126
DOIs
Publication statusPublished - 2020 Oct 24
Event2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020 - Las Vegas, United States
Duration: 2020 Oct 242021 Jan 24

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020
Country/TerritoryUnited States
CityLas Vegas
Period20/10/2421/1/24

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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