An Integrated System for Assessing Stroke Risk

• Published in: IEEE engineering in medicine and biology magazine Vol. 26; no. 5; pp. 43 - 50
• Main Authors: Kyriacou, E.C., Pattichis, C.S., Karaolis, M.A., Loizou, C.P., Christodoulou, C.I., Pattichis, M.S., Kakkos, S., Nicolaides, A.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.09.2007; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithm design and analysis; Algorithms; Anatomy, Regional; Automatic Data Processing; Carotid Artery, Internal; Carotid Sinus; Carotid Stenosis - diagnosis; Data Interpretation, Statistical; Data mining; Database Management Systems; Death; Decision Support Systems, Clinical; Decision Trees; Diagnosis, Computer-Assisted; Electrocardiography; Frequency; Humans; Ischemic pain; Knowledge representation; Medical Record Linkage - methods; Modules; Myocardium; Pattern Recognition, Automated; Prospective Studies; Reference Values; Risk; Risk analysis; Risk Factors; Stroke - diagnosis; Stroke - etiology; Strokes; Surface layer; Texture; Ultrasound; Voltage
• ISSN: 0739-5175; 1937-4186
• DOI: 10.1109/EMB.2007.901794

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.