N. Rieke, C. Hennersperger, D. Mateus, N. Navab Ultrasound Interactive Segmentation with Tensor-Graph Methods IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, April 2014 (bib)
	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.
	This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.