Real-time catheter extraction from 2D X-ray fluoroscopic and 3D echocardiographic images for cardiac interventions

Wu X, Housden J, Ma Y, Rueckert D, Rhode KS (2013)

Publication Type: Conference contribution

Publication year: 2013

Journal

Lecture Notes in Computer Science Springer Verlag

Book Volume: 7746 LNCS

Pages Range: 198-206

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: FRA

ISBN: 9783642369605

DOI: 10.1007/978-3-642-36961-2_23

Abstract

X-ray fluoroscopic images are widely used for image guidance in cardiac electrophysiology (EP) procedures to diagnose or treat cardiac arrhythmias based on catheter ablation. However, the main disadvantage of fluoroscopic imaging is the lack of soft tissue information and harmful radiation. In contrast, ultrasound (US) has the advantages of low-cost, non-radiation, and high contrast in soft tissue. In this paper we propose a framework to extract the catheter from both X-ray and US images in real time for cardiac interventions. The catheter extraction from X-ray images is based on SURF features, local patch analysis and Kalman filtering to acquire a set of sorted key points representing the catheter. At the same time, the transformation between the X-ray and US images can be obtained via 2D/3D rigid registration between a 3D model of the US probe and its projection on X-ray images. By backprojecting the information about the catheter location in the X-ray images to the US images the search space can be drastically reduced. The extraction of the catheter from US is based on 3D SURF feature clusters, graph model building, A*algorithm and B-spline smoothing. Experiments show the overall process can be achieved in 2.72 seconds for one frame and the reprojected error is 1.99 mm on average. © 2013 Springer-Verlag.

Involved external institutions

Imperial College London / The Imperial College of Science, Technology and Medicine GB United Kingdom (GB) King’s College London GB United Kingdom (GB)

How to cite

APA:

Wu, X., Housden, J., Ma, Y., Rueckert, D., & Rhode, K.S. (2013). Real-time catheter extraction from 2D X-ray fluoroscopic and 3D echocardiographic images for cardiac interventions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 198-206). FRA.

MLA:

Wu, Xianliang, et al. "Real-time catheter extraction from 2D X-ray fluoroscopic and 3D echocardiographic images for cardiac interventions." Proceedings of the 3rd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2012, FRA 2013. 198-206.

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