Literature DB >> 32053941

Assessment of Position Repeatability Error in an Electromagnetic Tracking System for Surgical Navigation.

Gregorio Andria1, Filippo Attivissimo1, Attilio Di Nisio1, Anna Maria Lucia Lanzolla1, Mattia Alessandro Ragolia1.   

Abstract

In this paper we present a study of the repeatability of an innovative electromagnetic tracking system (EMTS) for surgical navigation, developed to overcome the state of the art of current commercial systems, allowing for the placement of the magnetic field generator far from the operating table. Previous studies led to the development of a preliminary EMTS prototype. Several hardware improvements are described, which result in noise reduction in both signal generation and the measurement process, as shown by experimental tests. The analysis of experimental results has highlighted the presence of drift in voltage components, whose effect has been quantified and related to the variation of the sensor position. Repeatability in the sensor position measurement is evaluated by means of the propagation of the voltage repeatability error, and the results are compared with the performance of the Aurora system (which represents the state of the art for EMTS for surgical navigation), showing a repeatability error about ten times lower. Finally, the proposed improvements aim to overcome the limited operating distance between the field generator and electromagnetic (EM) sensors provided by commercial EM tracking systems for surgical applications and seem to provide a not negligible technological advantage.

Entities:  

Keywords:  electromagnetic tracking system; error propagation; image guided surgery; position repeatability error; surgical navigation

Year:  2020        PMID: 32053941     DOI: 10.3390/s20040961

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Validation of an RF Image System for Real-Time Tracking Neurosurgical Tools.

Authors:  Carolina Blanco-Angulo; Andrea Martínez-Lozano; Carlos G Juan; Roberto Gutiérrez-Mazón; Julia Arias-Rodríguez; Ernesto Ávila-Navarro; José M Sabater-Navarro
Journal:  Sensors (Basel)       Date:  2022-05-19       Impact factor: 3.847

2.  Additive Manufacturing for Soft Robotics: Design and Fabrication of Airtight, Monolithic Bending PneuNets with Embedded Air Connectors.

Authors:  Gianni Stano; Luca Arleo; Gianluca Percoco
Journal:  Micromachines (Basel)       Date:  2020-05-09       Impact factor: 2.891

  2 in total

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