Literature DB >> 25265614

Teleoperation of steerable flexible needles by combining kinesthetic and vibratory feedback.

Claudio Pacchierotti, Momen Abayazid, Sarthak Misra, Domenico Prattichizzo.   

Abstract

Needle insertion in soft-tissue is a minimally invasive surgical procedure that demands high accuracy. In this respect, robotic systems with autonomous control algorithms have been exploited as the main tool to achieve high accuracy and reliability. However, for reasons of safety and responsibility, autonomous robotic control is often not desirable. Therefore, it is necessary to focus also on techniques enabling clinicians to directly control the motion of the surgical tools. In this work, we address that challenge and present a novel teleoperated robotic system able to steer flexible needles. The proposed system tracks the position of the needle using an ultrasound imaging system and computes needle's ideal position and orientation to reach a given target. The master haptic interface then provides the clinician with mixed kinesthetic-vibratory navigation cues to guide the needle toward the computed ideal position and orientation. Twenty participants carried out an experiment of teleoperated needle insertion into a soft-tissue phantom, considering four different experimental conditions. Participants were provided with either mixed kinesthetic-vibratory feedback or mixed kinesthetic-visual feedback. Moreover, we considered two different ways of computing ideal position and orientation of the needle: with or without set-points. Vibratory feedback was found more effective than visual feedback in conveying navigation cues, with a mean targeting error of 0.72 mm when using set-points, and of 1.10 mm without set-points.

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Mesh:

Year:  2014        PMID: 25265614     DOI: 10.1109/TOH.2014.2360185

Source DB:  PubMed          Journal:  IEEE Trans Haptics        ISSN: 1939-1412            Impact factor:   2.487


  4 in total

1.  Steering and control of miniaturized untethered soft magnetic grippers with haptic assistance.

Authors:  C Pacchierotti; F Ongaro; F van den Brink; C Yoon; D Prattichizzo; D H Gracias; S Misra
Journal:  IEEE Trans Autom Sci Eng       Date:  2017-01-17       Impact factor: 5.083

2.  Closed-Loop Active Compensation for Needle Deflection and Target Shift During Cooperatively Controlled Robotic Needle Insertion.

Authors:  Marek Wartenberg; Joseph Schornak; Katie Gandomi; Paulo Carvalho; Chris Nycz; Niravkumar Patel; Iulian Iordachita; Clare Tempany; Nobuhiko Hata; Junichi Tokuda; Gregory S Fischer
Journal:  Ann Biomed Eng       Date:  2018-06-20       Impact factor: 3.934

3.  Modular robotic platform for precision neurosurgery with a bio-inspired needle: System overview and first in-vivo deployment.

Authors:  Riccardo Secoli; Eloise Matheson; Marlene Pinzi; Stefano Galvan; Abdulhamit Donder; Thomas Watts; Marco Riva; Davide Danilo Zani; Lorenzo Bello; Ferdinando Rodriguez Y Baena
Journal:  PLoS One       Date:  2022-10-19       Impact factor: 3.752

4.  Design and evaluation of a computed tomography (CT)-compatible needle insertion device using an electromagnetic tracking system and CT images.

Authors:  Navid Shahriari; Edsko Hekman; Matthijs Oudkerk; Sarthak Misra
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-04-07       Impact factor: 2.924

  4 in total

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