By Topic

Robust strain estimation using adaptive dynamic grid interpolation model

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

3 Author(s)
Yamakawa, M. ; Grad. Sch. of Eng., Kyoto Univ., Kyoto ; Shuhui Bu ; Shiina, T.

Tissue strain imaging is a new technology for imaging tissue hardness information using ultrasound, and it is being used for diagnosing breast cancer etc. However, the method currently being used often induces errors in poor signal-to-noise ratio (SNR) areas such as low-echo areas. Therefore, this paper proposes a method that can robustly estimate a strain distribution in poor SNR areas. In order to use the adaptive dynamic grid interpolation (ADGI) model with a correlation coefficient in the proposal method, errors in the poor SNR areas are corrected and a high spatial resolution is maintained in the good SNR area.

Published in:

Ultrasonics Symposium, 2008. IUS 2008. IEEE

Date of Conference:

2-5 Nov. 2008