Dynamic programming and fuzzy classification for the automatic segmentation of the carotid in ultrasound images

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Rui Rocha (Author) FEUP; Jorge Alves Silva (Author) FEUP; Aurélio Campilho (Author) FEUP

Conference proceedings International

Title: Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011

Pages: 552-556

12th IAPR Conference on Machine Vision Applications, MVA 2011

Nara, 13 June 2011 through 15 June 2011

Indexing

Scopus - 3 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-008-4CH

Abstract (EN): A new approach is proposed for the automatic detection of the near-end and far-end intima and adventitia inner boundaries in ultrasound images of the common carotid artery. This method uses the instantaneous coefficient of variation edge detector, fuzzy classification of edges, several discriminating features of the carotid wall boundaries and dynamic programming. The carotid wall boundaries are detected both in healthy and in atherosclerotic arteries, with a wide range of plaque types and sizes. Manual and automatic results are significantly better for the far-end wall, where the automatic detection shows an accuracy similar to manual detections. The application of this approach in clinical practice is encouraged by the results for the far-end wall and the short computation time.

Language: English

Type (Professor's evaluation): Scientific