Combined use of iteration, quadratic interpolation and an extra kernel forhigh-resolution 2D particle tracking : A first evaluation

Summary, in English

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.

• Author: John Albinsson; Sofia Brorsson; Finn Lindgren; Åsa Rydén Ahlgren; Magnus Cinthio
• Department/s: Department of Biomedical Engineering; Mathematical Statistics; Clinical Physiology and Nuclear Medicine, Malmö
• Publishing year: 2010
• Language: English
• Pages: 2000-2003
• Publication/Series: 2010 IEEE International Ultrasonics Symposium
• Links: http://dx.doi.org/10.1109/ULTSYM.2010.5935430
• Document type: Conference paper
• Publisher: IEEE - Institute of Electrical and Electronics Engineers Inc.
• Topic: Medical Biotechnology
• Keywords: Adaptive rood pattern search; Block-matching; Tissue motion
• Conference name: 2010 IEEE International Ultrasonics Symposium, IUS 2010
• Conference date: 2010-10-11 - 2010-10-14
• Conference place: San Diego, CA, United States
• Status: Published
• Research group: Clinical Physiology, Malmö
• ISBN/ISSN/Other: ISBN: 978-1-4577-0382-9