A review of noninvasive ultrasound image processing methods in the analysis of carotid plaque morphology for the assessment of stroke risk

Authors:
Efthyvoulos C. Kyriacou;Constantinos Pattichis;Marios Pattichis;Christos Loizou;Christodoulos Christodoulou;Stavros K. Kakkos;Andrew Nicolaides
Affiliations:
Department of Computer Science and Engineering, Frederick University, Limassol, Cyprus;Department of Computer Science, University of Cyprus, Nicosia, Cyprus;Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM;Department of Computer Science, School of Sciences, Intercollege, Limassol, Cyprus;Department of Computer Science, University of Cyprus, Nicosia, Cyprus, and Department of Computational Intelligence, Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus;Department of Vascular Surgery, University of Patras Medical School, Patras, Greece;Emeritus at Imperial College, London and Vascular Screening and Diagnostic Centre, London and Cyprus Cardiovascular Disease Educational Research Trust, Nicosia, Cyprus
Venue:
IEEE Transactions on Information Technology in Biomedicine
Year:
2010

Citing 5
Cited 2

An Introduction to Nonlinear Image Processing

An Introduction to Nonlinear Image Processing
A versatile technique for visual enhancement of medical ultrasound images

Digital Signal Processing
Classification of atherosclerotic carotid plaques using morphological analysis on ultrasound images

Applied Intelligence
An Integrated System for the Segmentation of Atherosclerotic Carotid Plaque

IEEE Transactions on Information Technology in Biomedicine
Speckle reducing anisotropic diffusion

IEEE Transactions on Image Processing

Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization

Computer Methods and Programs in Biomedicine
Estimating contrast agent motion from ultrasound images using an anisotropic diffusion-based optical flow technique

Computers in Biology and Medicine

Quantified Score

Hi-index	0.00

Visualization

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.