Literature DB >> 28736508

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

Berk Gonenc1, Alireza Chamani1, James Handa2, Peter Gehlbach2, Russell H Taylor1, Iulian Iordachita1.   

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 (FBG) 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.

Entities:  

Keywords:  fiber Bragg grating; force sensing; micro-forceps

Year:  2017        PMID: 28736508      PMCID: PMC5515300          DOI: 10.1109/JSEN.2017.2694965

Source DB:  PubMed          Journal:  IEEE Sens J        ISSN: 1530-437X            Impact factor:   3.301


  40 in total

1.  Sub-retinal hemorrhage during internal limiting membrane peeling for a macular hole.

Authors:  Ko Nakata; Masahito Ohji; Yasushi Ikuno; Shunji Kusaka; Fumi Gomi; Yasuo Tano
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2003-05-09       Impact factor: 3.117

2.  Cooperative robot assistant for retinal microsurgery.

Authors:  Ioana Fleming; Marcin Balicki; John Koo; Iulian Iordachita; Ben Mitchell; James Handa; Gregory Hager; Russell Taylor
Journal:  Med Image Comput Comput Assist Interv       Date:  2008

3.  Ophthalmic surgery simulator training improves resident performance of capsulorhexis in the operating room.

Authors:  Colin A McCannel; David C Reed; Darin R Goldman
Journal:  Ophthalmology       Date:  2013-06-21       Impact factor: 12.079

4.  Enhanced internal search for iatrogenic retinal breaks in 20-gauge macular surgery.

Authors:  H Stevie Tan; Sarit Y Lesnik Oberstein; Marco Mura; Marc D de Smet
Journal:  Br J Ophthalmol       Date:  2010-05-21       Impact factor: 4.638

5.  Auditory force feedback substitution improves surgical precision during simulated ophthalmic surgery.

Authors:  Nathan Cutler; Marcin Balicki; Mark Finkelstein; Jiangxia Wang; Peter Gehlbach; John McGready; Iulian Iordachita; Russell Taylor; James T Handa
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-02-15       Impact factor: 4.799

6.  The prevalence of diabetic retinopathy among adults in the United States.

Authors:  John H Kempen; Benita J O'Colmain; M Cristina Leske; Steven M Haffner; Ronald Klein; Scot E Moss; Hugh R Taylor; Richard F Hamman
Journal:  Arch Ophthalmol       Date:  2004-04

7.  Force sensing micro-forceps for robot assisted retinal surgery.

Authors:  Ismail Kuru; Berk Gonenc; Marcin Balicki; James Handa; Peter Gehlbach; Russell H Taylor; Iulian Iordachita
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

8.  Double peeling during vitrectomy for macular pucker: the Charles L. Schepens Lecture.

Authors:  Stanley Chang; Emily M Gregory-Roberts; Sungpyo Park; Ketan Laud; Scott D Smith; Quan V Hoang
Journal:  JAMA Ophthalmol       Date:  2013-04       Impact factor: 7.389

9.  Towards Vision-Based Control of a Handheld Micromanipulator for Retinal Cannulation in an Eyeball Phantom.

Authors:  Brian C Becker; Sungwook Yang; Robert A Maclachlan; Cameron N Riviere
Journal:  Proc IEEE RAS EMBS Int Conf Biomed Robot Biomechatron       Date:  2012-12-31

10.  Miniature fiber-optic force sensor based on low-coherence Fabry-Pérot interferometry for vitreoretinal microsurgery.

Authors:  Xuan Liu; Iulian I Iordachita; Xingchi He; Russell H Taylor; Jin U Kang
Journal:  Biomed Opt Express       Date:  2012-04-19       Impact factor: 3.732

View more
  8 in total

1.  Safe Tissue Manipulation in Retinal Microsurgery via Motorized Instruments with Force Sensing.

Authors:  Berk Gonenc; Peter Gehlbach; Russell H Taylor; Iulian Iordachita
Journal:  Proc IEEE Sens       Date:  2017-12-25

2.  Force and Velocity Based Puncture Detection in Robot Assisted Retinal Vein Cannulation: In-Vivo Study.

Authors:  Alireza Alamdar; Niravkumar Patel; Muller Urias; Ali Ebrahimi; Peter Gehlbach; Iulian Iordachita
Journal:  IEEE Trans Biomed Eng       Date:  2022-02-21       Impact factor: 4.756

3.  A force measurement platform for a vitreoretinal surgical simulator using an artificial eye module integrated with a quartz crystal resonator.

Authors:  Yuta Taniguchi; Hirotaka Sugiura; Toshiro Yamanaka; Shiro Watanabe; Seiji Omata; Kanako Harada; Mamoru Mitsuishi; Tomoyasu Shiraya; Koichiro Sugimoto; Takashi Ueta; Kiyohito Totsuka; Fumiyuki Araki; Muneyuki Takao; Makoto Aihara; Fumihito Arai
Journal:  Microsyst Nanoeng       Date:  2022-07-05       Impact factor: 8.006

4.  Real-Time Sclera Force Feedback for Enabling Safe Robot-Assisted Vitreoretinal Surgery.

Authors:  Ali Ebrahimi; Changyan He; Marina Roizenblatt; Niravkumar Patel; Shahriar Sefati; Peter Gehlbach; Iulian Iordachita
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2018-07

5.  Data-Driven Shape Sensing of a Surgical Continuum Manipulator Using an Uncalibrated Fiber Bragg Grating Sensor.

Authors:  Shahriar Sefati; Cong Gao; Iulian Iordachita; Russell H Taylor; Mehran Armand
Journal:  IEEE Sens J       Date:  2021-10-01       Impact factor: 3.301

6.  A Clamping Force Estimation Method Based on a Joint Torque Disturbance Observer Using PSO-BPNN for Cable-Driven Surgical Robot End-Effectors.

Authors:  Zhengyu Wang; Daoming Wang; Bing Chen; Lingtao Yu; Jun Qian; Bin Zi
Journal:  Sensors (Basel)       Date:  2019-12-01       Impact factor: 3.576

7.  Three-Axis Tension-Measuring Vitreoretinal Forceps Using Strain Sensor for Corneal Surgery.

Authors:  Seongjin Yang; Suhyeon Kim; Seong Kyung Hong; Hyungkook Jeon; Seong J Cho; Geunbae Lim
Journal:  Polymers (Basel)       Date:  2021-12-17       Impact factor: 4.329

8.  Artificial intelligence, robotics and eye surgery: are we overfitted?

Authors:  Müller G Urias; Niravkumar Patel; Changyan He; Ali Ebrahimi; Ji Woong Kim; Iulian Iordachita; Peter L Gehlbach
Journal:  Int J Retina Vitreous       Date:  2019-12-16
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.