By Topic

Region-adaptive motion tracking of speckle imagery

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
$33 $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

1 Author(s)
E. S. Ebbini ; Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA

A new algorithm for speckle tracking is introduced. The algorithm is based on 2D correlation processing of beamformed radio frequency (RF) data from a medical imaging scanner employing a linear array of transducers. However, it is based on two powerful features for mask size design and for optimizing search direction for efficient implementation. An eigenvalue decomposition of a local intraframe spatial correlation matrix is used to determine the mask size. In addition, the search direction is determined from the 2D gradiant of the phase profiles of an interframe spatial correlation matrix. The result is a robust and computationally efficient speckle tracking algorithm suitable for medical imaging applications. A description of the new algorithm is given in this paper along with illustrative examples from image sequences obtained from tissue mimicking phantoms and in vivo liver images from a healthy volunteer

Published in:

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on  (Volume:6 )

Date of Conference: