DocumentCode :
1466615
Title :
A Review of Noninvasive Ultrasound Image Processing Methods in the Analysis of Carotid Plaque Morphology for the Assessment of Stroke Risk
Author :
Kyriacou, Efthyvoulos C. ; Pattichis, Constantinos ; Pattichis, Marios ; Loizou, Christos ; Christodoulou, Christodoulos ; Kakkos, Stavros K. ; Nicolaides, Andrew
Author_Institution :
Dept. of Comput. Sci. & Eng., Frederick Univ., Limassol, Cyprus
Volume :
14
Issue :
4
fYear :
2010
fDate :
7/1/2010 12:00:00 AM
Firstpage :
1027
Lastpage :
1038
Abstract :
Noninvasive ultrasound imaging of carotid plaques allows for the development of plaque-image analysis methods associated with the risk of stroke. This paper presents several plaque-image analysis methods that have been developed over the past years. The paper begins with a review of clinical methods for visual classification that have led to standardized methods for image acquisition, describes methods for image segmentation and denoizing, and provides an overview of the several texture-feature extraction and classification methods that have been applied. We provide a summary of emerging trends in 3-D imaging methods and plaque-motion analysis. Finally, we provide a discussion of the emerging trends and future directions in our concluding remarks.
Keywords :
biomedical ultrasonics; blood vessels; feature extraction; image denoising; image segmentation; image texture; medical disorders; medical image processing; pattern classification; risk analysis; ultrasonic imaging; carotid plaque morphology analysis; classification methods; image acquisition; image denoising; image segmentation; noninvasive ultrasound image processing methods; plaque image analysis methods; stroke risk assessment; texture feature extraction methods; Assessment of stroke; carotid; despekle filtering; plaque imaging; segmentation; texture analysis; ultrasound; Carotid Arteries; Humans; Risk Factors; Stroke;
fLanguage :
English
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
Publisher :
ieee
ISSN :
1089-7771
Type :
jour
DOI :
10.1109/TITB.2010.2047649
Filename :
5444988
Link To Document :
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