A novel sensing method to detect tissue boundaries during robotic needle insertion based on laser Doppler flowmetry
Author(s)
Virdyawan, Vani
Dessi, Orsina
Rodriguez y Baena, Ferdinando
Type
Journal Article
Abstract
This study investigates the use of Laser Doppler Flowmetry (LDF) as a method to detect tissue transitions during robotic needle insertions. Insertions were performed in gelatin tissue phantoms with different optical and mechanical properties and into ex-vivo sheep brain. The effect of changing the optical properties of gelatin tissue phantoms was first investigated and it was shown that using gelatin concentration to modify the stiffness of samples was suitable. Needle insertion experiments were conducted into both one-layer and two-layer gelatin phantoms. In both cases, three stages could be observed in the perfusion values: tissue loading, rupture and tissue cutting. These were correlated to force values measured from the tip of the needle during insertion. The insertions into ex-vivo sheep brain also clearly showed the time of rupture in both force and perfusion values, demonstrating that tissue puncture can be detected using an LDF sensor at the tip of a needle.
Date Issued
2020-04-01
Date Acceptance
2020-01-10
Citation
IEEE Robotics and Automation Letters, 2020, 5 (2), pp.1524-1531
ISSN
2377-3766
Publisher
Institute of Electrical and Electronics Engineers
Start Page
1524
End Page
1531
Journal / Book Title
IEEE Robotics and Automation Letters
Volume
5
Issue
2
Copyright Statement
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Commission of the European Communities
Engineering & Physical Science Research Council (E
Grant Number
688279
EP/R511547/1
Subjects
0913 Mechanical Engineering
Publication Status
Published
Date Publish Online
2020-01-24