Literature DB >> 28762253

Intraocular robotic interventional surgical system (IRISS): Mechanical design, evaluation, and master-slave manipulation.

Jason T Wilson1, Matthew J Gerber1, Stephen W Prince1, Cheng-Wei Chen1, Steven D Schwartz2, Jean-Pierre Hubschman2, Tsu-Chin Tsao1.   

Abstract

BACKGROUND: Since the advent of robotic-assisted surgery, the value of using robotic systems to assist in surgical procedures has been repeatedly demonstrated. However, existing technologies are unable to perform complete, multi-step procedures from start to finish. Many intraocular surgical steps continue to be manually performed.
METHODS: An intraocular robotic interventional surgical system (IRISS) capable of performing various intraocular surgical procedures was designed, fabricated, and evaluated. Methods were developed to evaluate the performance of the remote centers of motion (RCMs) using a stereo-camera setup and to assess the accuracy and precision of positioning the tool tip using an optical coherence tomography (OCT) system.
RESULTS: The IRISS can simultaneously manipulate multiple surgical instruments, change between mounted tools using an onboard tool-change mechanism, and visualize the otherwise invisible RCMs to facilitate alignment of the RCM to the surgical incision. The accuracy of positioning the tool tip was measured to be 0.205±0.003 mm. The IRISS was evaluated by trained surgeons in a remote surgical theatre using post-mortem pig eyes and shown to be effective in completing many key steps in a variety of intraocular surgical procedures as well as being capable of performing an entire cataract extraction from start to finish.
CONCLUSIONS: The IRISS represents a necessary step towards fully automated intraocular surgery and demonstrated accurate and precise master-slave manipulation for cataract removal and-through visual feedback-retinal vein cannulation.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  calibration; computer assisted surgery; image analysis; kinematics; mechatronics; robot design

Mesh:

Year:  2017        PMID: 28762253     DOI: 10.1002/rcs.1842

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  14 in total

1.  Towards securing the sclera against patient involuntary head movement in robotic retinal surgery.

Authors:  Ali Ebrahimi; Muller Urias; Niravkumar Patel; Changyan He; Russell H Taylor; Peter Gehlbach; Iulian Iordachita
Journal:  ROMAN       Date:  2020-01-13

2.  Robotic posterior capsule polishing by optical coherence tomography image guidance.

Authors:  Matthew J Gerber; Jean-Pierre Hubschman; Tsu-Chin Tsao
Journal:  Int J Med Robot       Date:  2021-03-08       Impact factor: 2.547

3.  Semiautomated optical coherence tomography-guided robotic surgery for porcine lens removal.

Authors:  Cheng-Wei Chen; Anibal Andrés Francone; Matthew J Gerber; Yu-Hsiu Lee; Andrea Govetto; Tsu-Chin Tsao; Jean-Pierre Hubschman
Journal:  J Cataract Refract Surg       Date:  2019-11       Impact factor: 3.351

4.  Techniques for robot-aided intraocular surgery using monocular vision.

Authors:  Sungwook Yang; Joseph N Martel; Louis A Lobes; Cameron N Riviere
Journal:  Int J Rob Res       Date:  2018-07-13       Impact factor: 4.703

5.  EyeSAM: graph-based localization and mapping of retinal vasculature during intraocular microsurgery.

Authors:  Shohin Mukherjee; Michael Kaess; Joseph N Martel; Cameron N Riviere
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-02-21       Impact factor: 2.924

6.  Force-based Control for Safe Robot-assisted Retinal Interventions: In Vivo Evaluation in Animal Studies.

Authors:  Niravkumar Patel; Muller Urias; Ali Ebrahimi; Russell H Taylor; Peter Gehlbach; Iulian Iordachita
Journal:  IEEE Trans Med Robot Bionics       Date:  2022-07-15

7.  Semi-Automated Extraction of Lens Fragments via a Surgical Robot Using Semantic Segmentation of OCT Images with Deep Learning - Experimental Results in ex vivo Animal Model.

Authors:  Changyeob Shin; Matthew J Gerber; Yu-Hsiu Lee; Mercedes Rodriguez; Sahba Aghajani Pedram; Jean-Pierre Hubschman; Tsu-Chin Tsao; Jacob Rosen
Journal:  IEEE Robot Autom Lett       Date:  2021-04-12

8.  Auditory Feedback Effectiveness for Enabling Safe Sclera Force in Robot-Assisted Vitreoretinal Surgery: a Multi-User Study.

Authors:  Ali Ebrahimi; Marina Roizenblatt; Niravkumar Patel; Peter Gehlbach; Iulian Iordachita
Journal:  Rep U S       Date:  2021-02-10

9.  Stochastic Force-based Insertion Depth and Tip Position Estimations of Flexible FBG-Equipped Instruments in Robotic Retinal Surgery.

Authors:  Ali Ebrahimi; Farshid Alambeigi; Shahriar Sefati; Niravkumar Patel; Changyan He; Peter Gehlbach; Iulian Iordachita
Journal:  IEEE ASME Trans Mechatron       Date:  2020-09-08       Impact factor: 5.303

10.  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
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.