Cart (Loading....) | Create Account
Close category search window
 

Motion segmentation and estimation of active skeletal muscles in ultrasonic image sequences

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

2 Author(s)
Tzu-Lun Weng ; Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan ; Yung-Nien Sun

The segmentation of high contrast anatomical structure from different medical images has been widely explored. However there are seldom algorithms available to reliably segment soft tissue structures of a moving musculoskeletal system with ambiguous boundaries from ultrasound image sequences. Often, ambiguous object boundaries in a single image frame can be easily resolved when dynamic effects are computed based on a sequence of frames. However, the contraction of active skeletal muscles is very complex, such as concentric contraction, isometric contraction and eccentric contraction. These inhomogeneous motion properties make them very difficult to segment. In this paper, we proposed a new algorithm to segment the active skeletal muscles by minimizing an energy function and the curve motion estimation

Published in:

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint  (Volume:2 )

Date of Conference:

Oct 1999

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.