Paper Info
Title
A robust anisotropic edge detection method for carotid ultrasound image processing.
Abstract
A new approach for robust edge detection on B-mode ultrasound images of the carotid artery is proposed in this paper. The proposed method uses anisotropic Gaussian derivative filters along with non-maximum suppression over the overall artery wall orientation in local regions. The anisotropic filters allow using a wider integration scale along the edges while preserving the edge location precision. They also perform edge continuation, resulting in the connection of isolated edge points along linear segments, which is a valuable feature for the segmentation of the artery wall layers. However, this usually results in false edges being detected near convex contours and isolated points. The use of non-maximum suppression over pooled local orientations is proposed to solve this issue. Experimental results are provided to demonstrate that the proposed edge detector outperforms other common methods in the detection of the lumen-intima and media-adventia layer interfaces of the carotid vessel walls. Additionally, the resulting edges are more continuous and precisely located.
Year
DOI
Venue
2018
10.1016/j.procs.2018.08.006
Procedia Computer Science
Keywords
Field
DocType
edge detection,anisotropic filter,carotid ultrasound,intima-media
Computer vision,Data mining,Anisotropy,Edge detection,Segmentation,Computer science,Carotid arteries,Edge detector,Regular polygon,Gaussian,Artificial intelligence,Ultrasound image
Conference
Volume
ISSN
Citations 
126
1877-0509
0
PageRank 
References 
Authors
0.34
8
5
Name
Order
Citations
PageRank
Jose Rouco15510.41
Catarina Carvalho200.34
Ana Domingues300.34
Elsa Azevedo4895.88
Aurélio J. C. Campilho532140.49