Literature DB >> 28218455

Experimental evaluation of magnified haptic feedback for robot-assisted needle insertion and palpation.

Leonardo Meli1,2, Claudio Pacchierotti3, Domenico Prattichizzo1,2.   

Abstract

BACKGROUND: Haptic feedback has been proven to play a key role in enhancing the performance of teleoperated medical procedures. However, due to safety issues, commercially-available medical robots do not currently provide the clinician with haptic feedback.
METHODS: This work presents the experimental evaluation of a teleoperation system for robot-assisted medical procedures able to provide magnified haptic feedback to the clinician. Forces registered at the operating table are magnified and provided to the clinician through a 7-DoF haptic interface. The same interface is also used to control the motion of a 6-DoF slave robotic manipulator. The safety of the system is guaranteed by a time-domain passivity-based control algorithm.
RESULTS: Two experiments were carried out on stiffness discrimination (during palpation and needle insertion) and one experiment on needle guidance.
CONCLUSIONS: Our haptic-enabled teleoperation system improved the performance with respect to direct hand interaction of 80%, 306%, and 27% in stiffness discrimination through palpation, stiffness discrimination during needle insertion, and guidance, respectively.
Copyright © 2017 John Wiley & Sons, Ltd.

Keywords:  haptics; minimally-invasive surgery; navigation; needle insertion; safety; telesurgery

Mesh:

Year:  2017        PMID: 28218455     DOI: 10.1002/rcs.1809

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


  5 in total

1.  Force estimation from OCT volumes using 3D CNNs.

Authors:  Nils Gessert; Jens Beringhoff; Christoph Otte; Alexander Schlaefer
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-05-04       Impact factor: 2.924

2.  MR-Compatible Haptic Display of Membrane Puncture in Robot-Assisted Needle Procedures.

Authors:  Amy Kyungwon Han; Jung Hwa Bae; Katerina C Gregoriou; Christopher J Ploch; Roger E Goldman; Gary H Glover; Bruce L Daniel; Mark R Cutkosky
Journal:  IEEE Trans Haptics       Date:  2018-03-19       Impact factor: 2.487

3.  Spatio-temporal deep learning models for tip force estimation during needle insertion.

Authors:  Nils Gessert; Torben Priegnitz; Thore Saathoff; Sven-Thomas Antoni; David Meyer; Moritz Franz Hamann; Klaus-Peter Jünemann; Christoph Otte; Alexander Schlaefer
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-05-30       Impact factor: 2.924

4.  Share control of surgery robot master manipulator guiding tool along the standard path.

Authors:  Lukasz Fracczak; Mateusz Szaniewski; Leszek Podsedkowski
Journal:  Int J Med Robot       Date:  2019-02-19       Impact factor: 2.547

5.  DNN-Based Assistant in Laparoscopic Computer-Aided Palpation.

Authors:  Tomohiro Fukuda; Yoshihiro Tanaka; Michitaka Fujiwara; Akihito Sano
Journal:  Front Robot AI       Date:  2018-06-19
  5 in total

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