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Ultrasound speckle tracking strain estimation of in vivo carotid artery plaque with in vitro sonomicrometry validation
KTH, School of Technology and Health (STH), Medical Engineering, Medical Imaging.
Karolinska Institutet, Stockholm, Sweden.
Department of Cardiovascular Sciences, KU Leuven.
Department of Cardiovascular Sciences, KU Leuven.
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2015 (English)In: Ultrasound in Medicine and Biology, ISSN 0301-5629, E-ISSN 1879-291X, Vol. 41, no 1, 77-88 p.Article in journal (Refereed) Published
Abstract [en]

Our objective was to validate a previously developed speckle tracking (ST) algorithm to assess strain in common carotid artery plaques. Radial and longitudinal strain was measured in common carotid artery gel phantoms with a plaque-mimicking inclusion using an in-house ST algorithm and sonomicrometry. Moreover, plaque strain by ST for seven patients (77 ± 6 y) with carotid atherosclerosis was compared with a quantitative visual assessment by two experienced physicians. In vitro, good correlation existed between ST and sonomicrometry peak strains, both radially (r = 0.96, p < 0.001) and longitudinally (r = 0.75, p < 0.01). In vivo, greater pulse pressure-adjusted radial and longitudinal strains were found in echolucent plaques than in echogenic plaques. This illustrates the feasibility of ultrasound ST strain estimation in plaques and the possibility of characterizing plaques using ST strain in vivo.

Place, publisher, year, edition, pages
Elsevier, 2015. Vol. 41, no 1, 77-88 p.
Keyword [en]
Carotid artery, Invitro, Invivo, Phantom, Plaque characterization, Speckle tracking, Strain, Ultrasound, Validation
National Category
Medical Image Processing
URN: urn:nbn:se:kth:diva-159741DOI: 10.1016/j.ultrasmedbio.2014.06.013ISI: 000347898500011PubMedID: 25308946ScopusID: 2-s2.0-84919843935OAI: diva2:787184

QC 20150220. QC 20160226

Available from: 2015-02-09 Created: 2015-02-09 Last updated: 2016-09-21Bibliographically approved
In thesis
1. Ultrasonic Methods for Quantitative Carotid Plaque Characterization
Open this publication in new window or tab >>Ultrasonic Methods for Quantitative Carotid Plaque Characterization
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Cardiovascular diseases are the leading causes of death worldwide and improved diagnostic methods are needed for early intervention and to select the most suitable treatment for patients. Currently, carotid artery plaque vulnerability is typically determined by visually assessing ultrasound B-mode images, which is influenced by user-subjectivity. Since plaque vulnerability is correlated to the mechanical properties of the plaque, quantitative techniques are needed to estimate plaque stiffness as a surrogate for plaque vulnerability, which would reduce subjectivity during plaque assessment. The work in this thesis focused on three noninvasive ultrasound-based techniques to quantitatively assess plaque vulnerability and measure arterial stiffness. In Study I, a speckle tracking algorithm was validated in vitro to assess strain in common carotid artery (CCA) phantom plaques and thereafter applied in vivo to carotid atherosclerotic plaques where the strain results were compared to visual assessments by experienced physicians. In Study II, hard and soft CCA phantom plaques were characterized with shear wave elastography (SWE) by using phase and group velocity analysis while being hydrostatically pressurized followed by validating the results with mechanical tensile testing. In Study III, feasibility of assessing the stiffness of simulated plaques and the arterial wall with SWE was demonstrated in an ex vivo setup in small porcine aortas used as a human CCA model. In Study IV, SWE and pulse wave imaging (PWI) were compared when characterizing homogeneous CCA soft phantom plaques. The techniques developed in this thesis have demonstrated potential to characterize carotid artery plaques. The results show that the techniques have the ability to noninvasively evaluate the mechanical properties of carotid artery plaques, provide additional data when visually assessing B-mode images, and potentially provide improved diagnoses for patients suffering from cerebrovascular diseases.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. 70 p.
TRITA-STH : report, ISSN 1653-3836 ; 2016:08
Atherosclerosis, Cardiovascular Disease, Carotid Artery, Elasticity, ex vivo, in vivo, Phantom, Plaque, Polyvinyl Alcohol, Pulse Wave Imaging, Shear Wave Elastography, Speckle Tracking, Stroke, Ultrasound
National Category
Medical Image Processing
Research subject
Medical Technology
urn:nbn:se:kth:diva-192339 (URN)978-91-7729-085-8 (ISBN)
Public defence
2016-10-13, T2, Hälsovägen 11c, Huddinge, 15:05 (English)

Doctoral thesis in medical technology and medical sciences

QC 20160921

Available from: 2016-09-21 Created: 2016-09-09 Last updated: 2016-09-21Bibliographically approved

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