By Topic

In-vivo perfusion quantification by contrast ultrasound: Validation of the use of linearized video data vs. raw RF data

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

4 Author(s)
Rognin, N.G. ; Bracco Res. S.A., Geneva ; Frinking, P. ; Costa, M. ; Arditi, M.

Perfusion quantification software commonly analyzes log-compressed video images provided by ultrasound systems. Compared to analysis of raw RF signals, errors in perfusion parameter estimates may be introduced, even when proper linearization is applied to reverse the log-compression. In this work, the effects of log-compression, demodulation, scan conversion and 8-bit quantization have been investigated, in terms of the errors introduced on perfusion parameter estimates. An in-vivo contrast bolus sequence was processed using both raw RF data and linearized video data. The outcome is that linearizing log-compressed video sequences can provide estimates as accurate as processing RF data under two conditions: a) system gain should be such as to prevent both excessive truncation of pixel values to minimum level and saturation to maximum level; b) the dynamic range of log-compression should be 45 dB or higher.

Published in:

Ultrasonics Symposium, 2008. IUS 2008. IEEE

Date of Conference:

2-5 Nov. 2008