Motion Detection in Ultrasound Image-Sequences Using Tensor Voting

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概要

• 論文の詳細を見る

• Motion detection in ultrasound image sequences using tensor voting is described. We have been developing an ultrasound imaging system adopting a combination of coded excitation and synthetic aperture focusing techniques. In our method, frame rate of the system at distance of 150 mm reaches 5000 frame/s. Sparse array and short duration coded ultrasound signals are used for high-speed data acquisition. However, many artifacts appear in the reconstructed image sequences because of the incompleteness of the transmitted code. To reduce the artifacts, we have examined the application of tensor voting to the imaging method which adopts both coded excitation and synthetic aperture techniques. In this study, the basis of applying tensor voting and the motion detection method to ultrasound images is derived. It was confirmed that velocity detection and feature enhancement are possible using tensor voting in the time and space of simulated ultrasound three-dimensional image sequences.

• Published by the Japan Society of Applied Physics through the Institute of Pure and Applied Physicsの論文
• 2008-05-25

著者

• TAMURA Yasutaka

  Department of Electrical and Information Engineering, Faculty of Engineering, Yamagata University

• Yanagida Hirotaka

  Department of Informatics, Yamagata University, Yonezawa, Yamagata 992-8510, Japan

• Inba Masafumi

  Department of Informatics, Yamagata University, Yonezawa, Yamagata 992-8510, Japan

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