Paper Info
Title
Joint Detection of the Carotid Boundaries in Longitudinal B-Mode Images
Abstract
This paper proposes a new approach for the automatic segmentation of the carotid adventitia in longitudinal B-scans, with and without the presence of plaque. The top and bottom adventitia contours are jointly detected with a 3D dynamic programing scheme that searches for the best pair of boundaries according to a specified fuzzy cost function. Some discriminating features of the adventitia in B-mode images are used to reduce the attraction by other edges. The final contours are filtered with a smoothing spline fitting.The proposed approach was quantitatively evaluated in a set of 38 images. In order to avoid high correlation of the results, a maximum of two images was selected from each patient. The carotid boundaries manually traced by a medical expert were used as the ground truth. Several statistics show that the proposed algorithm gives good results in most of the cases, including many poor quality images. Examples of the detected contours are presented and compared with the ground truth.
Year
DOI
Venue
2008
10.1007/978-3-540-69812-8_75
ICIAR
Keywords
Field
DocType
carotid adventitia,b-mode image,carotid boundary,carotid boundaries,longitudinal b-mode images,new approach,proposed algorithm,best pair,bottom adventitia contour,joint detection,ground truth,automatic segmentation,cost function,smoothing spline
Computer vision,Dynamic programming,Pattern recognition,Segmentation,Computer science,Fuzzy logic,Smoothing spline,Ground truth,Artificial intelligence
Conference
Volume
ISSN
Citations 
5112
0302-9743
0
PageRank 
References 
Authors
0.34
9
3
Name
Order
Citations
PageRank
Rui P. Rocha140735.91
Aurélio J. C. Campilho232140.49
Jorge Silva3704.39