A robust anisotropic edge detection method for carotid ultrasound image processing

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

José Rouco (Author) Other; Catarina Carvalho (Author) Other; Ana Domingues (Author) Other; Elsa Azevedo (Author) Other; Aurélio Campilho (Author) FEUP

Conference proceedings International

Title: Procedia Computer Science

Pages: 723-732

9th International Conference on Ambient Systems, Networks and Technologies, ANT 2018

8 May 2018 through 11 May 2018

Indexing

ISI Web of Knowledge - 5 Citations

ISI Web of Science

Scopus - 5 Citations

INSPEC

Other information

Authenticus ID: P-00P-NAA

DOI: 10.1016/j.procs.2018.08.006

Abstract (EN): 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. © 2018 The Author(s).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10