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A robust anisotropic edge detection method for carotid ultrasound image processing
dc.contributor.author | Rouco, J. | |
dc.contributor.author | Carvalho, Catarina | |
dc.contributor.author | Domingues, Ana | |
dc.contributor.author | Azevedo, Elsa | |
dc.contributor.author | Campilho, Aurélio | |
dc.date.accessioned | 2024-06-26T09:23:09Z | |
dc.date.available | 2024-06-26T09:23:09Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | J. Rouco, C. Carvalho, A. Domingues, E. Azevedo, y A. Campilho, «A robust anisotropic edge detection method for carotid ultrasound image processing», Procedia Computer Science, vol. 126, pp. 723-732, 2018, doi: 10.1016/j.procs.2018.08.006. | es_ES |
dc.identifier.issn | 1877-0509 | |
dc.identifier.uri | http://hdl.handle.net/2183/37407 | |
dc.description | The conference was held in Belgrade, Serbia, 3-5 September 2018. | es_ES |
dc.description.abstract | [Absctract]: 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. | es_ES |
dc.description.sponsorship | This work is funded by the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and the European Regional Development Fund (ERDF), within the project ”NanoSTIMA: Macro-to-Nano Human Sensing: Towards Integrated Multimodal Health Monitoring and Analytics/NORTE- 01-0145-FEDER-000016”. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.uri | https://doi.org/10.1016/j.procs.2018.08.006 | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | Edge detection | es_ES |
dc.subject | Anisotropic filter | es_ES |
dc.subject | Carotid ultrasound | es_ES |
dc.subject | Intima-media | es_ES |
dc.title | A robust anisotropic edge detection method for carotid ultrasound image processing | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Procedia Computer Science | es_ES |
UDC.volume | 126 | es_ES |
UDC.startPage | 723 | es_ES |
UDC.endPage | 732 | es_ES |
UDC.conferenceTitle | International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES2018) | es_ES |