Evaluation of segmentation algorithms for vessel wall detection in echo particle image velocimetry

F. Zhang*, L. O. Murta, J. S. Chen, A. J. Barker, L. Mazzaro, C. Lanning, R. Shandas

*Corresponding author for this work

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

10 Scopus citations

Abstract

Recent in-vitro and in-vivo validation studies confirmed the accuracy of echo particle image velocimetry (echo PIV), a simple non-invasive means of measuring multi-component blood velocity vectors. Echo PIV should also be useful for direct measurement of wall shear stress (WSS) in clinical studies. However, calculation of WSS requires accurate delineation of vessel walls in ultrasound images, which may be problematic when conventional segmentation techniques are used. In this paper, we proposed two methods for segmenting contrast enhanced B-mode images. The first is based on the intensity profile of ultrasound images, termed intensity-based edge detection (IBED) and the second based on the movement of microbubbles, termed movement-based quadratic difference (MBQD). The parameters related with the two methods were optimized over large sets of microbubble images acquired from human carotid vessels using an echo PIV system (Illumasonix LLC, Boulder, CO). A validation study on the two algorithms was carried out against manual delineations on both common carotid artery (CCA) and carotid bifurcation images, with 20 frames for each group. The inter-observer variability of three manual delineations, in pixels (about 80 μm/pixel), was 0.9±0.4, 1.3±0.6, 1.3±0.6 on CCA images, and 2.5±1.0, 3.9±1.1, 2.3±1.1 on bifurcation images. The absolute difference (mean±SD) between each computer-generated contour and the ground truths, taken as the average of three manual delineations, were 1.3±0.8, 3.8±0.8, 5.3±0.5 on CCA images, and 2.3±0.9, 4.6±1.3, 6.3±0.6 on bifurcation images, for the MBQD, IBED and active contour methods, respectively. The MBQD method shows comparable performance with manual delineations on particle images even with poor intima-media layer quality.

Original languageEnglish (US)
Title of host publication2009 IEEE International Ultrasonics Symposium and Short Courses, IUS 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2476-2479
Number of pages4
ISBN (Print)9781424443895
DOIs
StatePublished - 2009
Event2009 IEEE International Ultrasonics Symposium, IUS 2009 - Rome, Italy
Duration: Sep 20 2009Sep 23 2009

Publication series

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

Other

Other2009 IEEE International Ultrasonics Symposium, IUS 2009
Country/TerritoryItaly
CityRome
Period9/20/099/23/09

Keywords

  • Arteiral wall detection
  • Echo PIV
  • Segmentation
  • Ultrasound particle image
  • Wall shear stress

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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