SCEM+: real-time robust simultaneous catheter and environment modeling for endovascular navigation
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Accepted version
Accepted version
Author(s)
Zhao, L
Giannarou, S
Lee, S
Yang, GZ
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.
Date Issued
2016-07-01
Date Acceptance
2016-01-16
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
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
Katholieke Universiteit Leuven
Identifier
https://ieeexplore.ieee.org/document/7397923
Grant Number
CASCADE - 601021
Subjects
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
Coverage Spatial
Stockholm, Sweden
Date Publish Online
2016-02-03