Non invasive echographic techniques for arterial wall characterization

Bonnefous, O.; Montaudon, Michel; Sananès, Jean-Michel; Denis, Effoh Ndrin

doi:10.1109/ultsym.1996.584174

Cited by 12 publications

(13 citation statements)

References 3 publications

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“…This study used an Arterial Wall Motion (AWM) imaging facility developed by Philips Research Laboratories using novel Tissue Doppler Imaging signal processing techniques [26]. The AWM software was able to assess, along a 3–4 cm length, the arterial wall velocities and displacements, and to derive vessel compliance, tissue elasticity and stress/strain images.…”

Section: Methodsmentioning

confidence: 99%

“…Data were analyzed off-line using Philips Research Link HDILAB analysis software and the Arterial Wall Motion proprietary software developed by Philips Research Laboratories [26,30]. The software provided values for the axial wall dilations (defined as the difference between the anterior and posterior wall diameters relative to the reference diastole values) along a longitudinal segment of the artery for each image frame.…”

Section: Methodsmentioning

confidence: 99%

“…TDI is basically a colour Doppler technique that has been optimised to provide images of tissue motion rather than blood flow, and is capable of high spatial and temporal resolution. The signal processing techniques employed to extract the tissue velocity information from the RF ultrasound data are typically based on time domain cross-correlation techniques [26] or autocorrelation techniques [27]. Clinical applications of TDI of the myocardium, including theoretical, pathophysiological and methodological considerations are reviewed elsewhere [28].…”

Section: Introductionmentioning

confidence: 99%

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Tissue Doppler imaging of carotid plaque wall motion: a pilot study

Ramnarine

Hartshorne

Sensier

et al. 2003

Cardiovasc Ultrasound

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Background: Studies suggest the physical and mechanical properties of vessel walls and plaque may be of clinical value in the diagnosis and treatment of cardiovascular atherosclerotic disease. The purpose of this pilot study was to investigate the potential clinical application of ultrasound Tissue Doppler Imaging (TDI) of Arterial Wall Motion (AWM) and to quantify simple wall motion indices in normal and diseased carotid arteries.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Tissue Doppler imaging of carotid plaque wall motion: a pilot study

Ramnarine

Hartshorne

Sensier

et al. 2003

Cardiovasc Ultrasound

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“…Changes in the ratio of collagen to elastin in the extracellular matrix of the arterial media is one of the causes of arterial stiffness [2][3][4] . Previous attempts at noninvasive vascular elasticity imaging include arterial wall motion estimation [5][6][7][8] , intraparietal strain imaging [9] and pulse wave velocity measurement [10,11] . Arterial compliance measurement was also conducted by monitoring internal pulsatile deformation in tissues surrounding the normal brachial artery [12] .…”

Section: Introductionmentioning

confidence: 99%

Renal Advances in Ultrasound Elasticity Imaging: Measuring the Compliance of Arteries and Kidneys in End-Stage Renal Disease

et al. 2005

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Background/Aims: Ultrasound elasticity imaging visually represents tissue hardness measurements using high-resolution ultrasound speckle-tracking algorithms. This method has recently been applied in the renal setting to measure arterial compliance in end-stage renal disease (ESRD) and the mechanical properties of transplant kidneys in vivo. Methods: Ultrasound radio-frequency signal measurements were made of the brachial artery in 5 ESRD subjects and 5 healthy controls and renal transplant measurements in 2 subjects, 1 with chronic allograft nephropathy (CAN) and 1 with normal graft function. Results: Maximal brachial artery percent strain measurements for healthy controls were 32.9 ± 10.2% (mean ± SD) and for ESRD subjects maximal percent strains were 4.9 ± 1.8%. Transplant renal cortical strain for the subject with CAN was approximately one third that of the healthy transplant recipient. Conclusion: Ultrasound elasticity imaging offers the potential to noninvasively measure the mechanical properties of structures within the body.

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“…Arterial pressure and arterial wall motion are related since estimating the pressure requires measuring the variation of the diameter of the artery, as it is indicated in Equation (2). The importance of the wall motion artery's characterization has been also discussed by several authors who have demonstrated that radial [1,6–8] and longitudinal [9–11] motion are promising indicators to be associated with certain diseases or pathologies.…”

Section: Introductionmentioning

confidence: 99%

Arterial Mechanical Motion Estimation Based on a Semi-Rigid Body Deformation Approach

Guzmán

Hamarneh

Ros

et al. 2014

Sensors

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Arterial motion estimation in ultrasound (US) sequences is a hard task due to noise and discontinuities in the signal derived from US artifacts. Characterizing the mechanical properties of the artery is a promising novel imaging technique to diagnose various cardiovascular pathologies and a new way of obtaining relevant clinical information, such as determining the absence of dicrotic peak, estimating the Augmentation Index (AIx), the arterial pressure or the arterial stiffness. One of the advantages of using US imaging is the non-invasive nature of the technique unlike Intra Vascular Ultra Sound (IVUS) or angiography invasive techniques, plus the relative low cost of the US units. In this paper, we propose a semi rigid deformable method based on Soft Bodies dynamics realized by a hybrid motion approach based on cross-correlation and optical flow methods to quantify the elasticity of the artery. We evaluate and compare different techniques (for instance optical flow methods) on which our approach is based. The goal of this comparative study is to identify the best model to be used and the impact of the accuracy of these different stages in the proposed method. To this end, an exhaustive assessment has been conducted in order to decide which model is the most appropriate for registering the variation of the arterial diameter over time. Our experiments involved a total of 1620 evaluations within nine simulated sequences of 84 frames each and the estimation of four error metrics. We conclude that our proposed approach obtains approximately 2.5 times higher accuracy than conventional state-of-the-art techniques.

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Non invasive echographic techniques for arterial wall characterization

Cited by 12 publications

References 3 publications

Tissue Doppler imaging of carotid plaque wall motion: a pilot study

Tissue Doppler imaging of carotid plaque wall motion: a pilot study

Renal Advances in Ultrasound Elasticity Imaging: Measuring the Compliance of Arteries and Kidneys in End-Stage Renal Disease

Arterial Mechanical Motion Estimation Based on a Semi-Rigid Body Deformation Approach

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