Title :
An Integrated System for Assessing Stroke Risk
Author :
Kyriacou, Efthyvoulos C. ; Pattichis, Constantinos S. ; KARAOLIS, MINAS A. ; LOIZOU, CHRISTOS P. ; Christodoulou, Christodoulos I. ; Pattichis, Marios S. ; KAKKOS, STAVROS ; NICOLAIDES, ANDREW
Author_Institution :
Univ. of Cyprus, Nicosia
Abstract :
The objective of this article is to present an integrated system for the assessment of risk of stroke based on two modules: 1) clinical risk factors and noninvasive investigations, and 2) carotid plaque texture analysis. The system supports the data collected from the Asymptomatic Carotid Stenosis and Risk of Stroke (ACSRS) natural history study that includes following data: 1) clinical, biochemical, and electrocardiographic risk factors associated with cardiovascular deaths, and 2) whether any independent risk factors can be used to identify a high-risk group for cardiovascular death. Furthermore, the carotid plaque texture analysis module supports the normalization, despeckling, segmentation, texture feature extraction, and classification of ultrasound plaque images.
Keywords :
biochemistry; biomedical ultrasonics; blood vessels; cardiovascular system; diseases; feature extraction; image classification; image segmentation; image texture; medical image processing; Asymptomatic Carotid Stenosis and Risk of Stroke data; biochemical factors; cardiovascular systems; carotid plaque texture analysis; clinical risk factors; electrocardiographic risk factors; feature extraction; image classification; image despeckling; image segmentation; normalization methods; stroke risk assessment; ultrasound plaque images; Algorithm design and analysis; Data mining; Decision trees; Electrocardiography; Frequency; Ischemic pain; Knowledge representation; Myocardium; Risk analysis; Voltage; Algorithms; Anatomy, Regional; Automatic Data Processing; Carotid Artery, Internal; Carotid Sinus; Carotid Stenosis; Data Interpretation, Statistical; Database Management Systems; Decision Support Systems, Clinical; Decision Trees; Diagnosis, Computer-Assisted; Humans; Medical Record Linkage; Pattern Recognition, Automated; Prospective Studies; Reference Values; Risk Factors; Stroke;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
DOI :
10.1109/EMB.2007.901794