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Rieke, N.* ; Hennersperger, C.* ; Mateus, D. ; Navab, N.A.*

Ultrasound interactive segmentation with tensor-graph methods.

In: Proceedings (IEEE International Symposium on Biomedical Imaging, ISBI, 29. April - 02.May 2014, Beijing, China). Piscataway, NJ: IEEE, 2014. 690-693
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.
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Publication type Article: Conference contribution
ISBN 9781467319591
Conference Title IEEE International Symposium on Biomedical Imaging, ISBI
Conference Date 29. April - 02.May 2014
Conference Location Beijing, China
Proceedings Title Proceedings
Quellenangaben Volume: , Issue: , Pages: 690-693 Article Number: , Supplement: ,
Publisher IEEE
Publishing Place Piscataway, NJ