Advanced

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

Albinsson, John LU ; Brorsson, Sofia; Lindgren, Finn LU ; Ahlgren, Åsa Rydén LU and Cinthio, Magnus LU (2010) 2010 IEEE International Ultrasonics Symposium, IUS 2010 In 2010 IEEE International Ultrasonics Symposium, IUS 2010 p.2000-2003
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... (More)

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.

(Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Adaptive rood pattern search, Block-matching, Tissue motion
in
2010 IEEE International Ultrasonics Symposium, IUS 2010
pages
2000 - 2003
conference name
2010 IEEE International Ultrasonics Symposium, IUS 2010
conference location
San Diego, CA, United States
conference dates
2010-10-11 - 2010-10-14
external identifiers
  • scopus:80054067522
ISBN
9781457703829
DOI
10.1109/ULTSYM.2010.5935430
language
English
LU publication?
yes
id
0b333348-1320-4764-9a0a-1a6cea1a5eab
date added to LUP
2018-11-09 16:28:39
date last changed
2018-11-09 16:28:39
@inproceedings{0b333348-1320-4764-9a0a-1a6cea1a5eab,
  abstract     = {<p>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.</p>},
  author       = {Albinsson, John and Brorsson, Sofia and Lindgren, Finn and Ahlgren, Åsa Rydén and Cinthio, Magnus},
  booktitle    = {2010 IEEE International Ultrasonics Symposium, IUS 2010},
  isbn         = {9781457703829},
  keyword      = {Adaptive rood pattern search,Block-matching,Tissue motion},
  language     = {eng},
  location     = {San Diego, CA, United States},
  month        = {12},
  pages        = {2000--2003},
  title        = {Combined use of iteration, quadratic interpolation and an extra kernel forhigh-resolution 2D particle tracking : A first evaluation},
  url          = {http://dx.doi.org/10.1109/ULTSYM.2010.5935430},
  year         = {2010},
}