Registration-free simultaneous catheter and environment modelling
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Submitted version
Author(s)
Zhao, L
Giannarou, S
Lee, S
Yang, GZ
Type
Conference Paper
Abstract
Endovascular procedures are challenging to perform due to
the complexity and difficulty in catheter manipulation. The simultaneous
recovery of the 3D structure of the vasculature and the catheter posi-
tion and orientation intra-operatively is necessary in catheter control
and navigation. State-of-art Simultaneous Catheter and Environment
Modelling provides robust and real-time 3D vessel reconstruction based on real-time intravascular ultrasound (IVUS) imaging and electromagnetic (EM) sensing, but still relies on accurate registration between EM and pre-operative data. In this paper, a registration-free vessel reconstruction method is proposed for endovascular navigation. In the optimisation framework, the EM-CT registration is estimated and updated intra-operatively together with the 3D vessel reconstruction from IVUS, EM and pre-operative data, and thus does not require explicit registration. The proposed algorithm can also deal with global (patient) motion and periodic deformation caused by cardiac motion. Phantom and in-vivo experiments validate the accuracy of the algorithm and the results
demonstrate the potential clinical value of the technique.
the complexity and difficulty in catheter manipulation. The simultaneous
recovery of the 3D structure of the vasculature and the catheter posi-
tion and orientation intra-operatively is necessary in catheter control
and navigation. State-of-art Simultaneous Catheter and Environment
Modelling provides robust and real-time 3D vessel reconstruction based on real-time intravascular ultrasound (IVUS) imaging and electromagnetic (EM) sensing, but still relies on accurate registration between EM and pre-operative data. In this paper, a registration-free vessel reconstruction method is proposed for endovascular navigation. In the optimisation framework, the EM-CT registration is estimated and updated intra-operatively together with the 3D vessel reconstruction from IVUS, EM and pre-operative data, and thus does not require explicit registration. The proposed algorithm can also deal with global (patient) motion and periodic deformation caused by cardiac motion. Phantom and in-vivo experiments validate the accuracy of the algorithm and the results
demonstrate the potential clinical value of the technique.
Date Issued
2016-10-17
Date Acceptance
2016-04-29
Publisher
Springer
Copyright Statement
© 2016 Springer. This paper is embargoed until publication.
Sponsor
Katholieke Universiteit Leuven
Grant Number
CASCADE - 601021
Source
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2016
Publication Status
Accepted
Start Date
2016-10-17
Finish Date
2016-10-21
Coverage Spatial
Athens, Greece