TY - GEN
T1 - Combined use of iteration, quadratic interpolation and an extra kernel forhigh-resolution 2D particle tracking
T2 - 2010 IEEE International Ultrasonics Symposium, IUS 2010
AU - Albinsson, John
AU - Brorsson, Sofia
AU - Lindgren, Finn
AU - Ahlgren, Åsa Rydén
AU - Cinthio, Magnus
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Adaptive rood pattern search
KW - Block-matching
KW - Tissue motion
UR - http://www.scopus.com/inward/record.url?scp=80054067522&partnerID=8YFLogxK
U2 - 10.1109/ULTSYM.2010.5935430
DO - 10.1109/ULTSYM.2010.5935430
M3 - Conference contribution
AN - SCOPUS:80054067522
SN - 9781457703829
T3 - Proceedings - IEEE Ultrasonics Symposium
SP - 2000
EP - 2003
BT - 2010 IEEE International Ultrasonics Symposium, IUS 2010
Y2 - 11 October 2010 through 14 October 2010
ER -