A fast catheter segmentation and tracking from echocardiographic sequences based on corresponding x-ray fluoroscopic image segmentation and hierarchical graph modelling

Xianliang Wu, James Housden, YingLiang Ma, Kawal Rhode, Daniel Rueckert

Research output: Chapter in Book/Report/Conference proceedingConference contribution


3D soft tissue information, which X-ray images cannot provide but 3D echocardiographic imaging can, may be required in cardiac catheter-based interventions. In this paper, we propose a real-time catheter tracking strategy in echocardiographic sequences based on catheter segmentation in 2D X-ray images and registration between these two modalities. Firstly the segmentation from X-ray and the registration between X-ray and ultrasound is computed. The results from these steps reduce the search space in the ultrasound volume to a limited space surrounding a curved surface. This space is straightened and 2D SURF is calculated on the sampled cross-sections. All features are organized as a two level hierarchical graph. The longest path on the top-level graph and shortest paths on the bottom level graphs are solved. This combined path is considered as the potential catheter after B-Spline modelling and growing. The experiments on clinical data (2000 pairs of frames) show a better performance than a previous method and some dominant vesselness filters.
Original languageEnglish
Title of host publication2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PublisherThe Institute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Electronic)978-1-4673-1961-4
Publication statusPublished - 31 Jul 2014

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