Segmentation of carotid ultrasound images

• Type: Chapter or Part of a Book
• Date: 2014

Authors

Rui Rocha (Author) FEUP; Jorge Alves Silva (Author) FEUP; Aurélio Campilho (Author) FEUP

Book

Title: Multi-Modality Atherosclerosis Imaging and Diagnosis

Pages: 269-286

ISBN: 9781461474258; 1461474248; 9781461474241

Electronic ISBN: 978-1-4614-7425-8

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00G-54D

DOI: 10.1007/978-1-4614-7425-8_22

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific