TY - GEN
T1 - Ultrasound interactive segmentation with tensor-graph methods
AU - Rieke, Nicola
AU - Hennersperger, Christoph
AU - Mateus, Diana
AU - Navab, Nassir
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/7/29
Y1 - 2014/7/29
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84927950637
U2 - 10.1109/isbi.2014.6867964
DO - 10.1109/isbi.2014.6867964
M3 - Conference contribution
AN - SCOPUS:84927950637
T3 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
SP - 690
EP - 693
BT - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Symposium on Biomedical Imaging, ISBI 2014
Y2 - 29 April 2014 through 2 May 2014
ER -