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Exploring Robot-Assisted Optical Coherence Elastography for Surgical Palpation

Yeonhee Chang, Elan Ahronovich, Nabil Simaan, Cheol Song

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Abstract

Optical Coherence Elastography (OCE) is a method that discerns local tissue stiffness using optical infor- mation. This method has recently been explored for laryngeal cancer tumor margin detection but has not been widely de- ployed clinically. Part of the challenge hindering such clinical deployment is the need for controlled high-precision mechanical probing of the tissue. This paper explores the concept of robot- assisted optical coherence elastography(OCE) and presents a preliminary system integration used to demonstrate the approach for stiffness mapping and discerning tumor margins. The approach is demonstrated on a custom Cartesian stage robot, and a custom-built OCE system comprised of an 830 nm broad-band laser with a vector-analysis method for phase gradient estimation and strain imaging. The paper illustrates one of the advantages of robot-controlled probing in terms of increasing the accuracy of the OCE system in a large range of displacement and strain. By leveraging motion information from the robot, online re-calibration of the OCE strain map may be achieved, thereby reducing OCE errors. After calibra- tion, it is shown that the error in estimating the local Young’s modulus is 0.485% in the silicon phantom and 0.531% in the agar phantom. These results suggest that future integration of optical coherence tomography(OCT) in clinically deployable robots may offer advantages in enabling local stiffness map estimation using OCE.

Index terms

Medical Robots and Systems Robotics and Automation in Life Sciences Force and Tactile Sensing