Paper Info
Title
Registration-Free Simultaneous Catheter and Environment Modelling.
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 position 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.
Year
Venue
Field
2016
MICCAI
Computer vision,Catheter,Catheter manipulation,Intravascular ultrasound,Computer science,Imaging phantom,Artificial intelligence,Cardiac motion
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
6
4
Name
Order
Citations
PageRank
Liang Zhao110013.74
Stamatia Giannarou219218.86
Su-Lin Lee39218.76
Guang-Zhong Yang42812297.66