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A novel measure to express tracking quality in ultrasound block matching
KTH, School of Technology and Health (STH), Medical Engineering.ORCID iD: 0000-0002-5795-9867
KTH, School of Technology and Health (STH), Medical Engineering.
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2010 (English)In: Proceedings - IEEE Ultrasonics Symposium, 2010, 1636-1639 p.Conference paper, Published paper (Refereed)
Abstract [en]

Speckle de-correlation is a major problem in block matching based ultrasound methodologies as it limits the accuracy of the tracking result. It would be of benefit to have a quantitative measure expressing the local tracking quality as it would allow discarding unreliable motion estimates. We hypothesized that kernels showing sufficient gray scale pattern would more reliably track than kernels with more homogenous gray scale distributions. The aim of this study was to test this hypothesis in-silico. Ultrasound B-mode sequences were simulated from a kinematic model of the carotid artery. Two-dimensional motion was estimated using block matching with the normalized cross-correlation function as similarity measure. For each kernel, two measures of tracking quality were stored: the normalized cross-correlation coefficient (Ccc) and a measure of the amount of edges inside the kernel detected using a canny filter and counted on a pixel-by-pixel basis. As such, a quality measure (Cedge) between 0 (no edges) and 1 (nothing but edges) was obtained. Axial and lateral strains were subsequently obtained by linear regression in regions of interest (ROIs) with best/worst mean tracking quality scores. The root-mean-squared-error (RMSE) was significantly lower in regions with low Ccc (worst ROI) compared to ROIs with high Ccc. However, more edges in the kernel did indeed result in better overall tracking (lower RMSE). Thus, the proposed edge-detection method showed to be a better tracking quality measure than the commonly used Ccc.

Place, publisher, year, edition, pages
2010. 1636-1639 p.
Keyword [en]
Block matching, Elastography, Tracking Quality
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-59076DOI: 10.1109/ULTSYM.2010.5935715Scopus ID: 2-s2.0-80054772025ISBN: 978-145770382-9 (print)OAI: oai:DiVA.org:kth-59076DiVA: diva2:474998
Conference
2010 IEEE International Ultrasonics Symposium, IUS 2010; San Diego, CA; 11 October 2010 through 14 October 2010
Note
QC 20120111Available from: 2012-01-10 Created: 2012-01-10 Last updated: 2012-01-11Bibliographically approved

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Larsson, Matilda

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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Output format
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