Evidence map›Paper›PMID 24639624›Full record

ArticleIEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society2013

Vision-Based Control of a Handheld Surgical Micromanipulator with Virtual Fixtures.

Brian C Becker, Robert A Maclachlan, Louis A Lobes, Gregory D Hager, Cameron N Riviere

Abstract read
In one paragraph

Article in IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Simultaneous Online Registration-Independent Stiffness Identification and Tip Localization of Surgical Instruments in Robot-assisted Eye Surgery.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2023
    Article
  6. Article
  7. Laser scanner for 3D reconstruction of a wound's edge and topology.International journal of computer assisted radiology and surgery · 2021
    Article
  8. Article
  9. Article
  10. Stochastic Force-based Insertion Depth and Tip Position Estimations of Flexible FBG-Equipped Instruments in Robotic Retinal Surgery.IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division · 2021
    Article
  11. Article
  12. Review
  13. FBG-based Kalman Filtering and Control of Tool Insertion Depth For Safe Robot-assisted Vitrectomy.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2020
    Article
  14. Article
  15. Techniques for robot-aided intraocular surgery using monocular vision.The International journal of robotics research · 2018
    Article
  16. EyeSLAM: Real-time simultaneous localization and mapping of retinal vessels during intraocular microsurgery.The international journal of medical robotics + computer assisted surgery : MRCAS · 2018
    Article
  17. Force-Based Puncture Detection and Active Position Holding for Assisted Retinal Vein Cannulation.IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems. IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems · 2015
    Article
  18. Manipulator Design and Operation for a Six-Degree-of-Freedom Handheld Tremor-Canceling Microsurgical Instrument.IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division · 2015
    Article
  19. Article
  20. Robot assisted stapedotomy ex vivo with an active handheld instrument.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2015
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Brian C BeckerThe Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213 USA.
Robert A MaclachlanThe Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213 USA.
Louis A LobesThe Department of Ophthalmology, University of Pittsburgh Medical Center, Pittsburgh, PA 15213 USA.
Gregory D HagerThe Computer Science Department, Johns Hopkins University, Baltimore, Maryland 21218 USA.
Cameron N RiviereThe Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213 USA.

Funding

A Microsurgical Assistant SystemR01EB007969 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI TAYLOR, RUSSELL H · 2008 to 2012
$5.7M
An Active Handheld MicromanipulatorR01EB000526 · NIBIB · CARNEGIE-MELLON UNIVERSITY · PI RIVIERE, CAMERON N · 2003 to 2017
$2.6M
Image Guidance for Active Handheld Microsurgical ToolsR21EY016359 · NEI · CARNEGIE-MELLON UNIVERSITY · PI RIVIERE, CAMERON N · 2006 to 2007
$399k
NEI NIH HHS R21 EY016359NIBIB NIH HHS R01 EB000526NIBIB NIH HHS R01 EB007969
6 · The paper itself

Abstract

Performing micromanipulation and delicate operations in submillimeter workspaces is difficult because of destabilizing tremor and imprecise targeting. Accurate micromanipulation is especially important for microsurgical procedures, such as vitreoretinal surgery, to maximize successful outcomes and minimize collateral damage. Robotic aid combined with filtering techniques that suppress tremor frequency bands increases performance; however, if knowledge of the operator's goals is available, virtual fixtures have been shown to further improve performance. In this paper, we derive a virtual fixture framework for active handheld micromanipulators that is based on high-bandwidth position measurements rather than forces applied to a robot handle. For applicability in surgical environments, the fixtures are generated in real-time from microscope video during the procedure. Additionally, we develop motion scaling behavior around virtual fixtures as a simple and direct extension to the proposed framework. We demonstrate that virtual fixtures significantly outperform tremor cancellation algorithms on a set of synthetic tracing tasks (p < 0.05). In more medically relevant experiments of vein tracing and membrane peeling in eye phantoms, virtual fixtures can significantly reduce both positioning error and forces applied to tissue (p < 0.05).

Indexed as

dexterous manipulationmedical robots and systemsMicro/nano robotsmotion controlvision-based control

Identifiers

PMID24639624
PMCPMC3955368

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.