Presentation
19 April 2017 SMART micro-scissors with dual motors and OCT sensors (Conference Presentation)
Chaebeom Yeo, Seonjin Jang, Hyun-cheol Park, Peter L. Gehlbach, Cheol Song
Author Affiliations +
Abstract
Various end-effectors of microsurgical instruments have been developed and studied. Also, many approaches to stabilize the tool-tip using robotics have been studied such as the steady hand robot system, Micron, and SMART system. In our previous study, the horizontal SMART micro-scissors with a common path swept source OCT distance and one linear piezoelectric (PZT) motor was demonstrated as a microsurgical system. Because the outer needle is connected with a mechanical handle and moved to engage the tool tip manually, the tool tip position is instantaneously changed during the engaging. The undesirable motion can make unexpected tissue damages and low surgical accuracy. In this study, we suggest a prototype horizontal SMART micro-scissors which has dual OCT sensors and two motors to improve the tremor cancellation. Dual OCT sensors provide two distance information. Front OCT sensor detects a distance from the sample surface to the tool tip. Rear OCT sensors gives current PZT motor movement, acting like a motor encoder. The PZT motor can compensate the hand tremor with a feedback loop control. The manual engaging of tool tip in previous SMART system is replaced by electrical engaging using a squiggle motor. Compared with previous study, this study showed better performance in the hand tremor reduction. From the result, the SMART with automatic engaging may become increasingly valuable in microsurgical instruments.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chaebeom Yeo, Seonjin Jang, Hyun-cheol Park, Peter L. Gehlbach, and Cheol Song "SMART micro-scissors with dual motors and OCT sensors (Conference Presentation)", Proc. SPIE 10058, Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications XVII, 100580D (19 April 2017); https://doi.org/10.1117/12.2255614
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KEYWORDS
Optical coherence tomography

Sensors

Ferroelectric materials

Computer programming

Feedback loops

Natural surfaces

Prototyping

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