Ultrasound interactive segmentation with tensor-graph methods
Rieke N, Hennersperger C, Mateus D, Navab N (2014)
Publication Type: Conference contribution
Publication year: 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 690-693
Conference Proceedings Title: 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Event location: Beijing, CHN
ISBN: 9781467319591
DOI: 10.1109/isbi.2014.6867964
Abstract
We address the problem of segmenting aortic aneurysms in ultrasound images. As solution we propose a novel framework based on graph-based interactive segmentation methods, such as graph-cuts and random walks. Our main contribution is extending these approaches to handle structure tensor ultrasound images. Our hypothesis is that the structure tensor is better suited to represent the contextual information in ultrasound images than the pure b-mode intensity values. We demonstrate that this extension significantly improves the performance of both methods in clinical data.
Involved external institutions
Germany (DE)How to cite
APA:
Rieke, N., Hennersperger, C., Mateus, D., & Navab, N. (2014). Ultrasound interactive segmentation with tensor-graph methods. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (pp. 690-693). Beijing, CHN: Institute of Electrical and Electronics Engineers Inc..
MLA:
Rieke, Nicola, et al. "Ultrasound interactive segmentation with tensor-graph methods." Proceedings of the 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Beijing, CHN Institute of Electrical and Electronics Engineers Inc., 2014. 690-693.
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