A review of computational methods applied for identification and quantification of atherosclerotic plaques in images
A review of methodologies developed to analyze atherosclerotic plaques in images is presented. The traditional visual analysis of atherosclerotic plaques in images is introduced. The segmentation of atherosclerotic plaques in ultrasound, CT and MR images is addressed. Techniques of image processing, clustering and classification are reviewed. The effectiveness and drawbacks of each technique are discussed.
stroke medical imaging image analysis image segmentation