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SCEM+: real-time robust simultaneous catheter and environment modeling for endovascular navigation

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Title: SCEM+: real-time robust simultaneous catheter and environment modeling for endovascular navigation
Authors: Zhao, L
Giannarou, S
Lee, S
Yang, GZ
Item Type: Journal Article
Abstract: Endovascular procedures are characterised by significant challenges mainly due to the complexity in catheter control and navigation. Real-time recovery of the 3-D structure of the vasculature is necessary to visualise the interaction between the catheter and its surrounding environment to facilitate catheter manipulations. State-of-the-art intraoperative vessel reconstruction approaches are increasingly relying on nonionising imaging techniques such as optical coherence tomography (OCT) and intravascular ultrasound (IVUS). To enable accurate recovery of vessel structures and to deal with sensing errors and abrupt catheter motions, this letter presents a robust and real-time vessel reconstruction scheme for endovascular navigation based on IVUS and electromagnetic (EM) tracking. It is formulated as a nonlinear optimisation problem, which considers the uncertainty in both the IVUS contour and the EM pose, as well as vessel morphology provided by preoperative data. Detailed phantom validation is performed and the results demonstrate the potential clinical value of the technique.
Issue Date: 1-Jul-2016
Date of Acceptance: 16-Jan-2016
URI: http://hdl.handle.net/10044/1/29196
DOI: 10.1109/LRA.2016.2524984
ISSN: 2377-3766
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 961
End Page: 968
Journal / Book Title: IEEE Robotics and Automation Letters
Volume: 1
Issue: 2
Replaces: 10044/1/33390
http://hdl.handle.net/10044/1/33390
Copyright Statement: © 2016 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/Funder: Katholieke Universiteit Leuven
Funder's Grant Number: CASCADE - 601021
Keywords: Science & Technology
Technology
Robotics
Endovascular navigation
3D vessel reconstruction
optimisation
intravascular ultrasound (IVUS)
electromagnetic (EM) tracking
AORTIC-VALVE IMPLANTATION
INTRAVASCULAR ULTRASOUND IMAGES
STRUCTURE-FROM-MOTION
BIPLANE ANGIOGRAPHY
3D RECONSTRUCTION
INTERVENTION
CORONARY
SEGMENTATION
ARTERIES
FUSION
0913 Mechanical Engineering
Publication Status: Published
Conference Place: Stockholm, Sweden
Online Publication Date: 2016-02-03
Appears in Collections:Department of Surgery and Cancer
Computing
Faculty of Medicine
Institute of Global Health Innovation
Faculty of Engineering