Literature DB >> 27110431

Effects of Micro-Vibratory Modulation during Robot-Assisted Membrane Peeling.

Berk Gonenc1, Peter Gehlbach2, Russell H Taylor3, Iulian Iordachita4.   

Abstract

In retinal microsurgery, membrane peeling is a standard procedure requiring the delamination of a thin fibrous membrane adherent to the retina surface by applying very small forces. Robotic devices with combined force-sensing instruments have significant potential to assist this procedure by facilitating membrane delamination through induced micro-vibrations. However, defining the optimal frequency and amplitude for generating such vibrations, and updating these parameters during the procedure is not trivial. Automatic adjustment of these parameters via an adaptive control scheme is possible only if the individual parameter effects on delamination behavior are known. This study presents an experimental exploration of how micro-vibration amplitude and frequency affect membrane peeling forces alone. Combining a micromanipulator and a force-sensing micro-forceps, several peeling experiments were done on artificial phantoms (bandages) and inner shell membrane of raw chicken eggs. In the tested range of micro-vibration frequencies (10-50 Hz) the average delamination force was minimized mostly at 30 Hz for the bandages and at 50 Hz for the egg membranes. Increasing the micro-vibration amplitude from 50 μm up to 150 μm provided further reduction in average force, thus facilitated membrane delamination.

Entities:  

Year:  2015        PMID: 27110431      PMCID: PMC4838409          DOI: 10.1109/IROS.2015.7353912

Source DB:  PubMed          Journal:  Rep U S        ISSN: 2153-0858


  19 in total

Review 1.  Techniques, rationale, and outcomes of internal limiting membrane peeling.

Authors:  Arghavan Almony; Eric Nudleman; Gaurav K Shah; Kevin J Blinder; Dean B Eliott; Robert A Mittra; Asheesh Tewari
Journal:  Retina       Date:  2012-05       Impact factor: 4.256

2.  A prototype surgical manipulator for robotic intraocular micro surgery.

Authors:  Amit P Mulgaonkar; Jean-Pierre Hubschman; Jean-Louis Bourges; Brett L Jordan; Christopher Cham; Jason T Wilson; Tsu-Chin Tsao; Martin O Culjat
Journal:  Stud Health Technol Inform       Date:  2009

3.  Robot-assisted vitreoretinal surgery: development of a prototype and feasibility studies in an animal model.

Authors:  Takashi Ueta; Yoshiharu Yamaguchi; Yoshihiro Shirakawa; Taiga Nakano; Ryuichi Ideta; Yasuo Noda; Akio Morita; Ryo Mochizuki; Naohiko Sugita; Mamoru Mitsuishi; Yasuhiro Tamaki
Journal:  Ophthalmology       Date:  2009-07-09       Impact factor: 12.079

4.  Towards Robot-Assisted Vitreoretinal Surgery: Force-Sensing Micro-Forceps Integrated with a Handheld Micromanipulator.

Authors:  Berk Gonenc; Ellen Feldman; Peter Gehlbach; James Handa; Russell H Taylor; Iulian Iordachita
Journal:  IEEE Int Conf Robot Autom       Date:  2014-05

5.  Motorized Force-Sensing Micro-Forceps with Tremor Cancelling and Controlled Micro-Vibrations for Easier Membrane Peeling.

Authors:  Berk Gonenc; Peter Gehlbach; James Handa; Russell H Taylor; Iulian Iordachita
Journal:  Proc IEEE RAS EMBS Int Conf Biomed Robot Biomechatron       Date:  2014-08

6.  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

7.  Evaluation of a Micro-Force Sensing Handheld Robot for Vitreoretinal Surgery.

Authors:  Berk Gonenc; Marcin A Balicki; James Handa; Peter Gehlbach; Cameron N Riviere; Russell H Taylor; Iulian Iordachita
Journal:  Rep U S       Date:  2012-12-20

8.  An Ungrounded Hand-Held Surgical Device Incorporating Active Constraints with Force-Feedback.

Authors:  Christopher J Payne; Ka-Wai Kwok; Guang-Zhong Yang
Journal:  Rep U S       Date:  2013-11-07

9.  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

10.  A sub-millimetric, 0.25 mN resolution fully integrated fiber-optic force-sensing tool for retinal microsurgery.

Authors:  Iulian Iordachita; Zhenglong Sun; Marcin Balicki; Jin U Kang; Soo Jay Phee; James Handa; Peter Gehlbach; Russell Taylor
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-04-15       Impact factor: 2.924

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  4 in total

1.  Robot-assisted retinal vein cannulation with force-based puncture detection: Micron vs. the steady-hand eye robot.

Authors:  Berk Gonenc; Nhat Tran; Peter Gehlbach; Russell H Taylor; Iulian Iordachita
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

2.  3-DOF Force-Sensing Motorized Micro-Forceps for Robot-Assisted Vitreoretinal Surgery.

Authors:  Berk Gonenc; Alireza Chamani; James Handa; Peter Gehlbach; Russell H Taylor; Iulian Iordachita
Journal:  IEEE Sens J       Date:  2017-04-18       Impact factor: 3.301

3.  Robot-assisted vitreoretinal surgery: current perspectives.

Authors:  Marina Roizenblatt; Thomas L Edwards; Peter L Gehlbach
Journal:  Robot Surg       Date:  2018-02-23

4.  Towards Robot-Assisted Retinal Vein Cannulation: A Motorized Force-Sensing Microneedle Integrated with a Handheld Micromanipulator .

Authors:  Berk Gonenc; Jeremy Chae; Peter Gehlbach; Russell H Taylor; Iulian Iordachita
Journal:  Sensors (Basel)       Date:  2017-09-23       Impact factor: 3.576

  4 in total

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