ArticlePhysics in medicine and biology2018
Cross-correlation analysis of pulse wave propagation in arteries: in vitro validation and in vivo feasibility.
Article in Physics in medicine and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Improved Ultrasonic Local Pulse Wave Velocity Estimation Via Optimal Time Fiduciary Point Combination and Time Delays Fitness.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026Article
- Noninvasive Assessment of Arterial Compliance and Lumen Pressure in Human Carotid Arteries Using Physics-Informed Neural Networks and Ultrasound Imaging: A Clinical Feasibility Study.Research square · 2026Article
- Benchtop Pulse Wave Velocity Measurement From Spatial Wavelength Rather Than Pulse Arrival Time: Feasibility Studies.Journal of biomechanical engineering · 2026Article
- Assessment of Spatially-Varying Arterial Wall Stiffness and Pressure Using a Physics-Informed Neural Network and Pulse Wave Imaging: An in Silico and Experimental Phantom Study of Stenotic Vessels.Ultrasound in medicine & biology · 2026Article
- A physics-informed neural network approach for determining spatially varying arterial stiffness using ultrasound imaging: Finite Difference simulation and experimental plaque phantom validation.Proceedings of the ... IEEE International Symposium on Applications of Ferroelectrics. IEEE International Symposium on Applications of Ferroelectrics · 2024Article
- Unsupervised deep learning-based displacement estimation for vascular elasticity imaging applications.Physics in medicine and biology · 2023Article
- Pulse wave and vector flow Imaging for atherosclerotic disease progression in hypercholesterolemic swine.Scientific reports · 2023Article
- Feasibility of longitudinal monitoring of atherosclerosis with pulse wave imaging in a swine model.Physiological measurement · 2021Article
- Feasibility of Bilinear Mechanical Characterization of the Abdominal Aorta in a Hypertensive Mouse Model.Ultrasound in medicine & biology · 2021Article
- Pulse Wave Imaging Coupled With Vector Flow Mapping: A Phantom, Simulation, and In Vivo Study.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021Article
- Arterial wall mechanical inhomogeneity detection and atherosclerotic plaque characterization using high frame rate pulse wave imaging in carotid artery disease patients in vivo.Physics in medicine and biology · 2020Article
- Adaptive Pulse Wave Imaging: Automated Spatial Vessel Wall Inhomogeneity Detection in Phantoms and in-Vivo.IEEE transactions on medical imaging · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The stiffness of the arteries is known to be an indicator of the progression of various cardiovascular diseases. Clinically, the pulse wave velocity (PWV) is used as a surrogate for arterial stiffness. Pulse wave imaging (PWI) is a non-invasive, ultrasound-based imaging technique capable of mapping the motion of the vessel walls, allowing the local assessment of arterial properties. Conventionally, a distinctive feature of the displacement wave (e.g. the 50% upstroke) is tracked across the map to estimate the PWV. However, the presence of reflections, such as those generated at the carotid bifurcation, can bias the PWV estimation. In this paper, we propose a two-step cross-correlation based method to characterize arteries using the information available in the PWI spatio-temporal map. First, the area under the cross-correlation curve is proposed as an index for locating the regions of different properties. Second, a local peak of the cross-correlation function is tracked to obtain a less biased estimate of the PWV. Three series of experiments were conducted in phantoms to evaluate the capabilities of the proposed method compared with the conventional method. In the ideal case of a homogeneous phantom, the two methods performed similarly and correctly estimated the PWV. In the presence of reflections, the proposed method provided a more accurate estimate than conventional processing: e.g. for the soft phantom, biases of -0.27 and -0.71 m · s
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