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

Wu, Xianliang, Housden, James, Ma, YingLiang ORCID: https://orcid.org/0000-0001-5770-5843, Rhode, Kawal and Rueckert, Daniel (2014) A fast catheter segmentation and tracking from echocardiographic sequences based on corresponding x-ray fluoroscopic image segmentation and hierarchical graph modelling. In: 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. The Institute of Electrical and Electronics Engineers (IEEE), pp. 951-954. ISBN 978-1-4673-1961-4

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Abstract

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.

Item Type: Book Section
Faculty \ School: Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 04 Jan 2023 11:30
Last Modified: 04 Jan 2023 11:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/90381
DOI: 10.1109/isbi.2014.6868029

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