Multiresolution features of carotid artery wall and plaque toward identifying vulnerable asymptomatic cases from B-mode ultrasound

Golemati, Spyretta; Lehareas, Symeon; Tsiaparas, Nikolaos N.; Chatziioannou, Achilles; Nikita, Konstantina S.; Περρέα, Δέσποινα

doi:10.1109/ultsym.2013.0224

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Due to enhancement in technology, medical field should have to adopt that changes, in this situation the developed computer aided detection (CAD) tool plays a vital role in detection of CCA [3] which suffers from low resolution and high noise even though the IMC segmentation of LI and MA in ultrasound image is good. At this stage, the resolution of LI and MA was improved in [4] using wavelet transform. Stenosis was the major problem in CCA disease.…”

Section: Related Workmentioning

confidence: 99%

An improved ultrasound video sequence determination algorithm to estimate the Intima Media Thickness in the diagnosis of common carotid artery disease

Selvaraj

Kanakaraj

2015

2015 2nd International Conference on Electronics and Communication Systems (ICECS)

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The measurement of the Intima Media Thickness (IMT) have a clinical relevance in accordance with cardiovascular disease. Fully automatic algorithm is developed for the test of arterial wall thickening and for automatic measurement, tracking and segmentation of the Intima Media Complex (IMC) in B-mode ultrasound video sequences. The Adaptive Normalized Correlation (ANC) algorithm has two stage of operation, first the segmentation of the arterial wall and next the tracking of the IMT layer with the measurement.

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Section: Related Workmentioning

confidence: 99%

An improved ultrasound video sequence determination algorithm to estimate the Intima Media Thickness in the diagnosis of common carotid artery disease

Selvaraj

Kanakaraj

2015

2015 2nd International Conference on Electronics and Communication Systems (ICECS)

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“…Ultrasound imaging has shown great promise as a low cost, non-invasive tool to provide information on plaque composition. Several techniques have focused on quantitative intensity analysis of ultrasound images (Grønholdt et al 1998, Golemati et al 2013a, 2013b, Huang et al 2016b, Mitchell et al 2017. The rationale is that softer plaques, characterized by high lipid content or hemorrhage, are expected to generate weak reflections of ultrasound waves.…”

Section: Introductionmentioning

confidence: 99%

Arterial wall mechanical inhomogeneity detection and atherosclerotic plaque characterization using high frame rate pulse wave imaging in carotid artery disease patients in vivo

Karageorgos

Apostolakis²,

Nauleau³

et al. 2020

Phys. Med. Biol.

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Pulse Wave Imaging (PWI) is a non-invasive, ultrasound-based technique, which provides information on arterial wall stiffness by estimating the Pulse Wave Velocity (PWV) along an imaged arterial wall segment. The aims of the present study were to: 1) utilize the PWI information to automatically and optimally divide the artery into the segments with most homogeneous properties and 2) assess the feasibility of this method to provide arterial wall mechanical characterization in normal and atherosclerotic carotid arteries in vivo. A silicone phantom consisting of a soft and stiff segment along its longitudinal axis was scanned at the stiffness transition, and the PWV in each segment was estimated through static testing. The proposed algorithm detected the stiffness interface with an average error of 0.98±0.49 mm and 1.04±0.27 mm in the soft-to-stiff and stiff-to-soft pulse wave transmission direction, respectively. Mean PWVs estimated in the case of the soft-to-stiff pulse wave transmission direction were 2.47±0.04m/sec and 3.43±0.08 m/sec for soft and stiff phantom segments, respectively, while in the case of stiff-to-soft transmission direction PWVs were 2.60±0.18 m/sec and 3.72±0.08m/sec for the soft and stiff phantom segments, respectively, which were in good agreement with the PWVs obtained through static testing (soft segment: 2.41 m/sec, stiff segment: 3.52 m/sec). Furthermore, the carotid arteries of N=9 young subjects (22-32 y.o.) and N=9 elderly subjects (60-73 y.o.) with no prior history of carotid artery disease were scanned, in vivo, as well as the atherosclerotic carotid arteries of N=12 (59-85 y.o.) carotid artery disease patients. One-way ANOVA with Holm-Sidak correction showed that the number of most homogeneous segments in which the artery was divided was significantly higher in the case of carotid artery disease patients compared to young (3.25±0.86 segments vs 1.00±0.00 segments, p-value<0.0001) and elderly non-atherosclerotic subjects (3.25±0.86 segments vs 1.44±0.51 segments p-value<0.0001), indicating increased wall inhomogeneity in atherosclerotic arteries. The compliance provided by the proposed algorithm was significantly higher in non-calcified/high-lipid plaques as compared

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Multiresolution features of carotid artery wall and plaque toward identifying vulnerable asymptomatic cases from B-mode ultrasound

Cited by 2 publications

References 9 publications

An improved ultrasound video sequence determination algorithm to estimate the Intima Media Thickness in the diagnosis of common carotid artery disease

An improved ultrasound video sequence determination algorithm to estimate the Intima Media Thickness in the diagnosis of common carotid artery disease

Arterial wall mechanical inhomogeneity detection and atherosclerotic plaque characterization using high frame rate pulse wave imaging in carotid artery disease patients in vivo

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