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

John Albinsson*, Sofia Brorsson, Finn Lindgren, Åsa Rydén Ahlgren, Magnus Cinthio

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publication2010 IEEE International Ultrasonics Symposium, IUS 2010
Pages2000-2003
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 IEEE International Ultrasonics Symposium, IUS 2010 - San Diego, CA, United States
Duration: 11 Oct 201014 Oct 2010

Publication series

NameProceedings - IEEE Ultrasonics Symposium
ISSN (Print)1051-0117

Conference

Conference2010 IEEE International Ultrasonics Symposium, IUS 2010
Country/TerritoryUnited States
CitySan Diego, CA
Period11/10/1014/10/10

Keywords

  • Adaptive rood pattern search
  • Block-matching
  • Tissue motion

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