By Topic

Real-time BAPES implementation for fast spectral Doppler estimation

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)
Ricci, S. ; Inf. Eng., Univ. of Florence, Florence, Italy ; Matera, R. ; Tortoli, P.

The echoes backscattered from blood red cells moving in a vessel are typically elaborated though a spectral analysis and then displayed in the sonogram. The preferred frequency estimator is the Welch method, which is robust and fast, but requires at least 64-128 samples, gathered one per pulse repetition interval (PRIs), to guarantee adequate spectral resolution. The Blood Amplitude and Phase EStimator (BAPES) is an alternative technique that was recently proven suitable for producing good spectrograms using down to 16 PRIs per frame. This achievement allows a better time resolution and/or higher B-mode frame rates when working in Duplex mode, but unfortunately BAPES requires much more calculations than Welch, making its real-time employment quite challenging. In this work we present a BAPES implementation on a state-of-the-art fixed point DSP. This implementation, exploiting the Newton method for inverse matrix approximation, produces a 128 frequency-point frame in less than 5 ms. The error measured in a test on the common carotid artery of a volunteer was lower than 0.2% with respect to a floating-point reference implementation.

Published in:

Ultrasonics Symposium (IUS), 2013 IEEE International

Date of Conference:

21-25 July 2013