By Topic

Motion detection in ultrasound image-sequence using tensor voting

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Shuqiang Guo ; Grad. Sch. of Sci. & Eng., Yamagata Univ., Yonezawa ; Honghui Fan ; Inba, M. ; Tamura, Y.
more authors

Motion detection in ultrasound image sequence using tensor voting is described. The system adopts synthetic aperture focusing techniques and short duration coded signals to realize high-speed data acquisition. However, many artifacts appear in the reconstructed image sequence because of the incompleteness of the transmitted code and insufficient number of array elements. In this paper, we examined the application of the tensor voting for precise motion detection and artifact reduction in synthetic aperture focusing technique.

Published in:

Ultrasonics Symposium, 2008. IUS 2008. IEEE

Date of Conference:

2-5 Nov. 2008