TY - GEN
T1 - Noncontact estimation of stiffness based on optical coherence elastography under acoustic radiation pressure
AU - Hashimoto, Yuki
AU - Monnai, Yasuaki
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/24
Y1 - 2020/10/24
N2 - 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.
AB - 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.
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U2 - 10.1109/IROS45743.2020.9341235
DO - 10.1109/IROS45743.2020.9341235
M3 - Conference contribution
AN - SCOPUS:85102402175
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 9840
EP - 9845
BT - 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020
Y2 - 24 October 2020 through 24 January 2021
ER -