Characterization of carotid plaque composition, more specifically the amount of lipid core,
fibrous tissue, and calcified tissue, is an important task for the identification of plaques that …

Abstract Background and Purpose Atherosclerotic plaque tissue rupture is one of the
leading causes of strokes. Early carotid plaque monitoring can help reduce cardiovascular …

Visual or manual characterization and classification of atherosclerotic plaque lesions are
tedious, error-prone, and time-consuming. The purpose of this study is to develop and …

Carotid ultrasound measurement of total plaque area (TPA) provides a method for
quantifying carotid plaque burden and monitoring changes in carotid atherosclerosis in …

Measurement of total-plaque-area (TPA) is important for determining long term risk for stroke
and monitoring carotid plaque progression. Since delineation of carotid plaques is required …

Quantitative characterisation of carotid atherosclerosis and classification into symptomatic or
asymptomatic is crucial in planning optimal treatment of atheromatous plaque. The computer …

Plaques in the carotid artery result in stenosis, which is one of the main causes for stroke.
Patients have to be carefully selected for stenosis treatments as they carry some risk. Since …

This chapter introduces a polling-based principal component analysis strategy embedded in
the machine-learning framework to select and retain dominant features, resulting in superior …

Atherosclerotic plaque in carotid arteries can ultimately lead to cerebrovascular events if not
monitored. The objectives of this study are (a) to design a set of artificial intelligence (AI) …

Background and Purpose: Only 1–2% of the internal carotid artery asymptomatic plaques
are unstable as a result of> 80% stenosis. Thus, unnecessary efforts can be saved if these …