A robust anisotropic edge detection method for carotid ultrasound image processing

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2018

Autores

José Rouco (Autor) Outra; Catarina Carvalho (Autor) Outra; Ana Domingues (Autor) Outra; Elsa Azevedo (Autor) Outra; Aurélio Campilho (Autor) FEUP

Ata de Conferência Internacional

Título: Procedia Computer Science

Páginas: 723-732

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

8 May 2018 through 11 May 2018

Indexação

ISI Web of Knowledge - 5 Citações

ISI Web of Science

Scopus - 5 Citações

INSPEC

Outras Informações

ID Authenticus: 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).

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10