Please use this identifier to cite or link to this item:
|Title:||Segmentation of carotid ultrasound images|
|Abstract:||This chapter surveys methodologies for the segmentation of carotid ultrasound images and describes a method for the semiautomatic detection of the lumen-intima and the media-adventitia interfaces of the near and far common carotid wall. The approach is based on feature extraction, fitting of cubic splines, dynamic programming, smooth intensity thresholding surfaces, and geometric snakes. A set of 47 B-mode images of the common carotid were used to assess the performance of the method. The detection errors are similar to the ones observed in manual segmentations for 95% of the far wall interfaces and 73% of the near wall interfaces. © 2014 Springer Science+Business Media, LLC. All rights are reserved.|
|Appears in Collections:||C-BER - Book Chapters|
Files in This Item:
|753.72 kB||Adobe PDF|
View/Open Request a copy
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.