Abstract
A novel 2D particle tracking method, that uses 1) iteration, 2) fastquadratic sub-pixel estimation (with only 28 multiplications per movement), and3) a previous kernel, has been evaluated and compared with a full-searchblock-matching method. The comparison with high-frequency ultrasound data (40MHz) was conducted in silico and on phantoms, which comprised lateral, diagonal,and ellipsoidal movement patterns with speeds of 0-15 mm/s. The mean trackingerror was reduced by 68% in silico and 71% for the phantom measurements. Whenonly sub-pixel estimation was used, the decrease in the tracking error was 61%in silico and 57% for the phantom measurements. As well as decreasing thetracking error, the new method only used 70% of the computational time needed bythe full-search block-matching method. With a fast method having good trackingability for high-frequency ultrasound data, we now have a tool to betterinvestigate tissue movements and its dynamic functionality.
Original language | English |
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Title of host publication | 2010 IEEE International Ultrasonics Symposium |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 2000-2003 |
ISBN (Print) | 978-1-4577-0382-9 |
DOIs | |
Publication status | Published - 2010 |
Event | 2010 IEEE International Ultrasonics Symposium, IUS 2010 - San Diego, CA, United States Duration: 2010 Oct 11 → 2010 Oct 14 |
Conference
Conference | 2010 IEEE International Ultrasonics Symposium, IUS 2010 |
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Country/Territory | United States |
City | San Diego, CA |
Period | 2010/10/11 → 2010/10/14 |
Subject classification (UKÄ)
- Medical Biotechnology
Free keywords
- Adaptive rood pattern search
- Block-matching
- Tissue motion