DocumentCode
40629
Title
Toward Novel Noninvasive and Low-Cost Markers for Predicting Strokes in Asymptomatic Carotid Atherosclerosis: The Role of Ultrasound Image Analysis
Author
Golemati, S. ; Gastounioti, A. ; Nikita, Konstantina S.
Author_Institution
Nat. Kapodistrian Univ. of Athens, Athens, Greece
Volume
60
Issue
3
fYear
2013
fDate
Mar-13
Firstpage
652
Lastpage
658
Abstract
Stroke is a serious and frequent cerebrovascular disease with an enormous socioeconomic burden worldwide. Stroke prevention includes treatment of carotid atherosclerosis, the most common underlying cause of stroke, according to a specific diagnostic algorithm. However, this diagnostic algorithm has proved insufficient for a large number of mostly asymptomatic subjects, which poses a significant research challenge of identifying novel personalized risk markers for the disease. This paper illustrates the potential of carotid ultrasound image analysis toward this direction, with ultrasound imaging being a low-cost and noninvasive imaging modality and ultrasound-image-based features revealing valuable information on plaque composition and stability. A concise report of state-of-the-art studies in the field is provided and a perspective for clinical scenario for optimal management of atherosclerotic patients is described. Challenges and necessary future steps toward the realization of this scenario are discussed in an attempt to urge and orient future research, and mainly include systematic applications to sufficiently large patient samples, appropriately designed longitudinal studies, confirmation with histological results, and clinical trials.
Keywords
biomedical ultrasonics; blood vessels; brain; diseases; feature extraction; medical image processing; neurophysiology; ultrasonic imaging; asymptomatic carotid atherosclerosis; asymptomatic subjects; carotid atherosclerosis treatment; cerebrovascular disease; diagnostic algorithm; noninvasive imaging modality; noninvasive low-cost markers; optimal management; personalized risk markers; plaque composition; plaque stability; stroke prevention; ultrasound image analysis; ultrasound-image-based features; Atherosclerosis; Carotid arteries; Diseases; Image segmentation; Imaging; Ultrasonic imaging; Carotid; image analysis; stroke; ultrasound; Asymptomatic Diseases; Biological Markers; Carotid Arteries; Carotid Artery Diseases; Humans; Image Interpretation, Computer-Assisted; Risk Factors; Stroke;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2013.2244601
Filename
6428624
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