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dc.contributor.author
Fischer, Cedric
dc.contributor.author
Boehler, Quentin
dc.contributor.author
Nelson, Bradley
dc.date.accessioned
2022-06-22T08:41:46Z
dc.date.available
2022-06-13T09:18:53Z
dc.date.available
2022-06-13T10:20:57Z
dc.date.available
2022-06-22T08:41:46Z
dc.date.issued
2022-07
dc.identifier.issn
2377-3766
dc.identifier.other
10.1109/lra.2022.3181420
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/551965
dc.identifier.doi
10.3929/ethz-b-000551965
dc.description.abstract
Remote magnetic navigation offers an ideal platform for automated catheter navigation. Magnetically guided catheters show great dexterity and can reach locations that are otherwise challenging to access. By automating aspects of catheterization procedures, we can simplify and expedite the procedure to allow surgeons to focus on other critical tasks during the surgery. In this article, we describe an automation strategy that is based on the center line of extracted and registered vascular geometries. Position feedback is accomplished with a Hall-effect sensor embedded near the distal end of the catheter. Sensor measurements are compared to the magnetic field predicted by a linear model of the electromagnetic navigation system. By defining specific magnetic field gradients and applying the known vascular geometry, the magnetic fields can be utilized for the simultaneous navigation and localization of the catheter. This eliminates the need for other external, dedicated mapping systems, and the use of fluoroscopy imaging is minimized. The concept is tested in 2d vascular models and the accuracy of the localization is assessed with overhead camera tracking.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Using Magnetic Fields to Navigate and Simultaneously Localize Catheters in Endoluminal Environments
en_US
dc.type
Journal Article
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2022-06-10
ethz.journal.title
IEEE Robotics and Automation Letters
ethz.journal.volume
7
en_US
ethz.journal.issue
3
en_US
ethz.pages.start
7217
en_US
ethz.pages.end
7223
en_US
ethz.size
7 p. accepted version
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.grant
Soft Micro Robotics
en_US
ethz.grant
Arbeitstitel Soft Magnetic Robots: Modeling, Design and Control of Magnetically Guided Continuum Manipulators
en_US
ethz.grant
A Submillimeter Minimally Invasive System for Cardiac Arrhythmia Ablations
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02620 - Inst. f. Robotik u. Intelligente Systeme / Inst. Robotics and Intelligent Systems::03627 - Nelson, Bradley J. / Nelson, Bradley J.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02620 - Inst. f. Robotik u. Intelligente Systeme / Inst. Robotics and Intelligent Systems::03627 - Nelson, Bradley J. / Nelson, Bradley J.
en_US
ethz.grant.agreementno
743217
ethz.grant.agreementno
185039
ethz.grant.agreementno
180861
ethz.grant.fundername
EC
ethz.grant.fundername
SNF
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
H2020
ethz.grant.program
Exzellenzbeitrag in MINT
ethz.grant.program
Bridge - Discovery
ethz.date.deposited
2022-06-13T09:19:01Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2022-06-22T08:41:53Z
ethz.rosetta.lastUpdated
2025-02-14T02:26:04Z
ethz.rosetta.exportRequired
true
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true
ethz.COinS
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