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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
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 |
| UEA Research Groups: | Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Science > Research Groups > Data Science and AI |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 04 Jan 2023 11:30 |
| Last Modified: | 10 Dec 2024 01:12 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/90381 |
| DOI: | 10.1109/isbi.2014.6868029 |
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