Ultrasound-based speckle tracking for 3D Strain estimation of the Arterial wall - An experimental validation study in a tissue mimicking phantomShow others and affiliations
2011 (English)Conference paper, Published paper (Refereed)
Abstract [en]
Arterial stiffness is an important risk factor for cardiovascular disease. As such, ultrasound-based methods have been proposed to assess arterial strain as a measure of stiffness. The aim of the current study was to validate our recently proposed speckle tracking (ST) algorithm to estimate the in-plane wall strain tensor in an experimental setup. Three polyvinyl alcohol phantoms mimicking the carotid artery were constructed with different mechanical properties (2, 3 and 4 freeze-thaw cycles). The phantoms were connected to a pump, programmed to generate carotid flow profiles at peak flows of 7, 14, 21, 28 and 35 ml/s. Long and short-axis ultrasound images were obtained using a Vivid7 Dimension system. Radial, longitudinal and circumferential strains were estimated using the ST algorithm (kernel size: 2.7λx2λ, normalized cross-correlation; spline inter-polation for subsample motion estimation; 40% window overlap). Sonomicrometry was used to acquire reference values of strain in the phantoms. Good agreement was found between the estimated radial, longitudinal and circumferential strain and the acquired reference strain. The correlation between estimated mean peak strain values and reference peak strain values was r = 0.92 (p < 0.001) for radial strain, r = 0.72 (p = 0.006) for longitudinal strain and r = 0.91 (p < 0.001) for circumferential strain.
Place, publisher, year, edition, pages
2011. p. 725-728
Series
IEEE International Ultrasonics Symposium, IUS, ISSN 1948-5719
Keywords [en]
Arterial strain, Carotid artery, Speckle tracking, Vessel phantom, 3D strain, Arterial stiffness, Arterial wall, Cardio-vascular disease, Circumferential strain, Experimental validations, Flow profile, Freeze-thaw cycles, Kernel size, Longitudinal strain, Normalized cross-correlation, Peak flows, Peak strains, Radial strains, Reference strains, Reference values, Risk factors, Sonomicrometry, Strain tensor, Tissue mimicking phantom, Ultrasound images, Algorithms, Motion estimation, Speckle, Stiffness, Tissue, Ultrasonics, Strain
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-150186DOI: 10.1109/ULTSYM.2011.0176ISI: 000309918400174Scopus ID: 2-s2.0-84869032560ISBN: 9781457712531 (print)OAI: oai:DiVA.org:kth-150186DiVA, id: diva2:744250
Conference
2011 IEEE International Ultrasonics Symposium, IUS 2011, 18-21 October 2011, Orlando, FL, USA
Note
QC 20140908
2014-09-082014-09-012024-03-18Bibliographically approved