Skip to main navigation Skip to search Skip to main content

A new method for fiber bragg grating based needle shape sensing calibration

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Accurate placement of the needle is critical in percutaneous surgery. Needle shape reconstruction technology based on fiber Bragg gratings (FBGs) sensor is considered to have the potential to achieve this goal. In this paper, we present a temperature-insensitive calibration model for calibrating needles with FBG sensors to accurately estimate its deformation. In addition, we have designed a device for simultaneously calibrating the loading direction and shape. Preliminary results indicate that the proposed model is theoretically insensitive to temperature, but in fact it can only be used within a certain temperature range. The resolution of the loading direction increases as the degree of bending increases, with a maximum error of 8.58°. Shape reconstruction error can be less than 1.5mm with small needle bending. This calibration method can meet clinical applications.

Original languageEnglish
Title of host publicationIEEE International Conference on Robotics and Biomimetics, ROBIO 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1953-1958
Number of pages6
ISBN (Electronic)9781728163215
DOIs
StatePublished - Dec 2019
Event2019 IEEE International Conference on Robotics and Biomimetics, ROBIO 2019 - Dali, China
Duration: 6 Dec 20198 Dec 2019

Publication series

NameIEEE International Conference on Robotics and Biomimetics, ROBIO 2019

Conference

Conference2019 IEEE International Conference on Robotics and Biomimetics, ROBIO 2019
Country/TerritoryChina
CityDali
Period6/12/198/12/19

Keywords

  • Calibration
  • Fiber Bragg gratings (FBGs)
  • Percutaneous surgery
  • Shape sensing

Fingerprint

Dive into the research topics of 'A new method for fiber bragg grating based needle shape sensing calibration'. Together they form a unique fingerprint.

Cite this