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Combined use of Iteration, Quadratic Interpolation and an Extra Kernel for high-resolution 2D particle tracking: a first evaluation
Lund University.
Högskolan i Halmstad, Sektionen för ekonomi och teknik (SET), Bio- och miljösystemforskning (BLESS), Biomekanik och biomedicin.
Lund University.
Lund University.
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2010 (Engelska)Ingår i: 2010 ieee international ultrasonics symposium, New York: IEEE Press, 2010, s. 2000-2003Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

A novel 2D particle tracking method, that uses 1) iteration, 2) fast quadratic sub-pixel estimation (with only 28 multiplications per movement), and 3) a previous kernel, has been evaluated and compared with a full-search block-matching method. The comparison with high-frequency ultrasound data (40 MHz) was conducted in silico and on phantoms, which comprised lateral, diagonal, and ellipsoidal movement patterns with speeds of 0–15 mm/s. The mean tracking error was reduced by 68% in silico and 71% for the phantom measurements. When only 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 the tracking error, the new method only used 70% of the computational time needed by the full-search block-matching method. With a fast method having good tracking ability for high-frequency ultrasound data, we now have a tool to better investigate tissue movements and its dynamic functionality.

Ort, förlag, år, upplaga, sidor
New York: IEEE Press, 2010. s. 2000-2003
Nyckelord [en]
component; Tissue motion, Block-matching, Adaptive rood pattern search
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:hh:diva-5975DOI: 10.1109/ULTSYM.2010.5935430Scopus ID: 2-s2.0-80054067522ISBN: 978-1-4577-0382-9 OAI: oai:DiVA.org:hh-5975DiVA, id: diva2:352974
Konferens
2010 IEEE International Ultrasonics Symposium, IUS 2010, San Diego, CA, 11 - 14 October, 2010
Tillgänglig från: 2010-09-23 Skapad: 2010-09-23 Senast uppdaterad: 2018-03-23Bibliografiskt granskad

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