3-DOF Force-Sensing Motorized Micro-Forceps for Robot-Assisted Vitreoretinal Surgery

Berk Gonenc, Alireza Chamani, James Handa, Peter Gehlbach, Russell H. Taylor, Iulian Iordachita

Research output: Research - peer-reviewArticle

Abstract

In vitreoretinal surgery, membrane peeling is a prototypical task where a layer of fibrous tissue is delaminated off the retina with a micro-forceps by applying very fine forces that are mostly imperceptible to the surgeon. Previously, we developed sensitized ophthalmic surgery tools based on fiber Bragg grating strain sensors, which were shown to precisely detect forces at the instrument's tip in two degrees of freedom perpendicular to the tool axis. This paper presents a new design that employs an additional sensor to capture also the tensile force along the tool axis. The grasping functionality is provided via a compact motorized unit. To compute forces, we investigate two distinct fitting methods: a linear regression and a nonlinear fitting based on second-order Bernstein polynomials. We carry out experiments to test the repeatability of sensor outputs, calibrate the sensor, and validate its performance. Results demonstrate sensor wavelength repeatability within 2 pm. Although the linear method provides sufficient accuracy in measuring transverse forces, in the axial direction, it produces a root mean square (rms) error over 3 mN even for a confined magnitude and direction of forces. On the other hand, the nonlinear method provides a more consistent and accurate measurement of both the transverse and axial forces for the entire force range (0-25 mN). Validation, including random samples, shows that our tool with the nonlinear force computation method can predict 3-D forces with an rms error under 0.15 mN in the transverse plane and within 2 mN accuracy in the axial direction.

LanguageEnglish (US)
Article number7903591
Pages3526-3541
Number of pages16
JournalIEEE Sensors Journal
Volume17
Issue number11
DOIs
StatePublished - Jun 1 2017

Fingerprint

Surgery
Robots
Sensors
robots
surgery
sensors
Mean square error
Peeling
Fiber Bragg gratings
Linear regression
Polynomials
Tissue
Membranes
Wavelength
Experiments
root-mean-square errors
surgeons
peeling
retina
Bragg gratings

Keywords

  • Fiber Bragg grating
  • force sensing
  • micro-forceps

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

3-DOF Force-Sensing Motorized Micro-Forceps for Robot-Assisted Vitreoretinal Surgery. / Gonenc, Berk; Chamani, Alireza; Handa, James; Gehlbach, Peter; Taylor, Russell H.; Iordachita, Iulian.

In: IEEE Sensors Journal, Vol. 17, No. 11, 7903591, 01.06.2017, p. 3526-3541.

Research output: Research - peer-reviewArticle

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