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SCEM+: real-time robust simultaneous catheter and environment modeling for endovascular navigation
File | Description | Size | Format | |
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Liang preprint IEEE.pdf | Accepted version | 4.2 MB | Adobe PDF | View/Open |
RA-L_Liang_20160128.pdf | Accepted version | 5.31 MB | Adobe PDF | View/Open |
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 |