Different Patterns of Longitudinal Displacement of the Common Carotid Artery Wall in Healthy Humans Are Stable Over a Four-Month Period

Ahlgren, Åsa Rydén; Cinthio, Magnus; Persson, Henry; Lindström, Kjell

doi:10.1016/j.ultrasmedbio.2012.02.005

Cited by 38 publications

(50 citation statements)

References 25 publications

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“…In addition to the average transfer functions of the whole population, the same transfer functions were computed separately for the upper and lower quartiles of the data arranged according to the average deviation of the longitudinal motion waveform of the intima-media complex (IO dev ). Multiple subject specific waveforms have been observed in the longitudinal motion of the common carotid artery (Cinthio et al, 2006; Ahlgren et al, 2012; Yli-Ollila et al, 2013, 2016), thus the impact of the different waveforms on the transfer functions are observed here.…”

Section: Methodsmentioning

confidence: 59%

Transfer Function Analysis of the Longitudinal Motion of the Common Carotid Artery Wall

et al. 2016

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The longitudinal motion of the carotid wall is a potential new measure of arterial stiffness. Despite the over decade long research on the subject, the driving force and the specific longitudinal kinetics of the carotid wall has remained unclear. In this study, a transfer function analysis with 20 healthy subjects is presented to derive how the energy from the blood pressure moves the innermost arterial wall longitudinally and how the kinetic energy is then transferred to the outermost arterial layer. The power spectrums display that the main kinetic energy of the longitudinal motion is on band 0–3 Hz with a peak on the 1.1 Hz frequency. There is a large variation among the individuals, how the energy from the blood pressure transfers into the longitudinal motion of the arterial wall since the main direction of the longitudinal motion varies individually and because early arterial stiffening potentially has an effect on the time characteristics of the energy transfer. The energy transfer from the innermost to the outermost wall layer is more straightforward: on average, a 17% of the longitudinal amplitude is lost and an 18.9 ms delay is visible on the 1.0 Hz frequency.

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Section: Methodsmentioning

confidence: 59%

Transfer Function Analysis of the Longitudinal Motion of the Common Carotid Artery Wall

et al. 2016

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“…Sub-pixel resolution was achieved by interpolating the pixel values of the frames. This method was chosen as our reference method as it, as far as we know, still is the best to measure the three distinct reproducible bidirectional phases of the longitudinal movement of the common carotid artery wall: the first antegrade movement, that is, a movement in the direction of the blood flow; a retrograde movement, that is, a movement in the direction opposite blood flow; and the second antegrade movement (Ahlgren et al 2012a;Cinthio and Ahlgren 2010;Cinthio et al 2006). Step 2 is an iterative process to find the minimum SAD value in the matrix.…”

Section: Reference Methodsmentioning

confidence: 99%

“…In addition, we found that the major circulating hormones that play a role in vascular tone, adrenaline and noradrenaline, can dramatically increase longitudinal movement ), suggesting that the longitudinal movement can be a missing link between mental stress and cardiovascular disease (Ahlgren et al 2012b). It has been hypothesized that the pattern and/or magnitude of longitudinal arterial wall movement can be used as a biomarker for cardiovascular disease (Ahlgren et al , 2012a(Ahlgren et al , 2012bCinthio et al 2006;Svedlund and Gan 2011a;Svedlund et al 2011;Zahnd et al 2011Zahnd et al , 2012a.…”

Section: Introductionmentioning

confidence: 99%

Improved Tracking Performance of Lagrangian Block-Matching Methodologies Using Block Expansion in the Time Domain: In Silico, Phantom and in Vivo Evaluations

Albinsson

Brorsson

Ahlgren

et al. 2014

Ultrasound in Medicine & Biology

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“…With real‐time, noninvasive, and low‐cost advantages, ultrasonic technique is commonly used not only to image the vascular tissue structure and its kinestate but also to measure and locate vessels. It is also the preferred method for detecting the three layers of arterial walls . Ahlgren et al first proposed simultaneous measurements of the axial and radial displacements of an arterial wall in vivo using a noninvasive ultrasonic method.…”

Section: Introductionmentioning

confidence: 99%

“…Subsequently, two comparative studies were made using the above‐mentioned method to find the motion mode of axial displacements of IM in the CCA during a cardiac cycle, respectively. The first one was implemented for the consecutive measurements on the CCA in 20 healthy human subjects; the second one was for the measurements of the right CCA in ten healthy humans 4 months apart . However, these researches are preliminary studies based on clinical data.…”

Section: Introductionmentioning

confidence: 99%

A dynamic ultrasound simulation of a pulsating three‐layered CCA for validation of two‐dimensional wall motion and blood velocity estimation algorithms

Zhang

Cai

et al. 2017

Medical Physics

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Purpose: A dynamic ultrasound simulation model for the common carotid artery (CCA) with three arterial layers for validation of two-dimensional wall motion and blood velocity estimation algorithms is proposed in the present study. This model describes layers with not only characteristics of echo distributions conforming to clinical ones but also varying thicknesses, axial, and radial displacements with pulsatile blood pressure during a cardiac cycle. Methods: The modeling process is as follows: first, a geometrical model according with the clinical structure size of a CCA is built based on the preset layer thicknesses and the diameter of lumen. Second, a three-dimensional scatterer model is constructed by a mapping with a Hilbert space-filling curve from the one-dimensional scatterer distribution with the position and amplitude following Gamma and Gaussian distributions, respectively. The characteristics of three layers and blood are depicted by smoothly adjusting the scatterer density, the scale, and shape parameters of the Gamma distribution as well as the mean and standard deviation of the Gaussian distribution. To obtain the values of parameters of scatterer distributions, including the shape parameter, density, and intensity, for arterial layers and blood, the envelope signals simulated from different configurations of scatterer distribution are compared with those from different kinds of tissue of CCAs in vivo through a statistic analysis. Finally, the dynamic scatterer model is realized based on the blood pressure, elasticity modulus of intima-media (IM) and adventitia, varying IM thickness, axial displacement of IM as well as blood flow velocity at central axis during a cardiac cycle. Then, the corresponding radiofrequency (RF) signals, envelope signals, and Bmode images of the pulsatile CCA are generated in a dynamic scanning mode using Field II platform. Results: The three arterial layers, blood, and surrounding tissue in simulated B-mode ultrasound images are clearly legible. The results based on a statistical analysis for the envelope signals from 30 simulations indicate that the echo characteristics of blood, intima, media, and adventitia are in accordant with clinical ones. The maximum relative errors between the preset geometrical sizes and the measured ones from the simulated images for the diameter of the lumen and the thicknesses of the intima, media, and adventitia are 0.13%, 3.89%, 1.35%, and 0.06%, respectively. For the dynamic parameters, the variation in IM thickness, the radial displacements of lumen and adventitia as well as the axial displacement of IM and blood flow velocity are measured with the mean relative errors of 68.03%, 9.27%, 2.10%, 4.93%, and 17.34%, respectively. Conclusion:The simulated results present static sizes and dynamical variations according with preset values; echo distributions conforming to clinical versions. Therefore, the presented simulation model could be useful as a data source to evaluate the performance of studies on measurements of ultrasound-based tissue...

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Different Patterns of Longitudinal Displacement of the Common Carotid Artery Wall in Healthy Humans Are Stable Over a Four-Month Period

Cited by 38 publications

References 25 publications

Transfer Function Analysis of the Longitudinal Motion of the Common Carotid Artery Wall

Transfer Function Analysis of the Longitudinal Motion of the Common Carotid Artery Wall

Improved Tracking Performance of Lagrangian Block-Matching Methodologies Using Block Expansion in the Time Domain: In Silico, Phantom and in Vivo Evaluations

A dynamic ultrasound simulation of a pulsating three‐layered CCA for validation of two‐dimensional wall motion and blood velocity estimation algorithms

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