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Proceedings Paper

Dense motion analysis and segmentation of ultrasound images
Author(s): Ryo Yokoyama; Kota Aoki; Hiroshi Nagahashi
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Paper Abstract

We propose a dense motion analysis method for ultrasound images. A motion analysis is implemented by tracking a lot of lattice points. In this paper, two novel processings are introduced to perform the motion analysis. One is the tracking of lattice points based on an optical flow algorithm in a framework of multiple spring-models. The other is the detection of lattice points based on texture information with confidence value, and its result corrects the tracking errors. We evaluated our method using a sequence of artificial ultrasound images up to 5 minutes. The average and maximum errors of our proposed method have achieved the best performance in the conventional methods.

Paper Details

Date Published: 5 March 2015
PDF: 12 pages
Proc. SPIE 9316, Multimodal Biomedical Imaging X, 931603 (5 March 2015); doi: 10.1117/12.2078856
Show Author Affiliations
Ryo Yokoyama, Tokyo Institute of Technology (Japan)
Kota Aoki, Tokyo Institute of Technology (Japan)
Hiroshi Nagahashi, Tokyo Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 9316:
Multimodal Biomedical Imaging X
Fred S. Azar; Xavier Intes, Editor(s)

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