Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). We apologize for the inconvenience.
By Topic

2A-6 Optimization Algorithm for Improved Quantitative Ultrasound Signal Processing at the Proximal Femur

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

7 Author(s)

To improve the prediction of the osteoporotic fracture risk at the proximal femur we are developing a scanner for quantitative ultrasound (QUS) measurements at this site. Due to multipath transmission in this complex shaped bone conventional signal processing techniques developed for QUS measurements at peripheral sites frequently fail. Applying a model-based estimation method to quantitative ultrasound scans of excised proximal femurs the fraction of evaluable signals can be increased from approx. 60% (using conventional algorithms) to 95%. The correlation of the standard QUS variables broadband ultrasound attenuation (BUA) and speed-of-sound (SOS) with the established variable bone mineral density (BMD) reported in previous studies is maintained (r 2 BUA/BMD = 0.69, r2 SOS/BMD = 0.82). Because of its ability to separate superimposed signals this approach opens up further diagnostic potential by evaluating the information of waves of different sound paths through the bone

Published in:

Ultrasonics Symposium, 2006. IEEE

Date of Conference:

2-6 Oct. 2006