Segmentation of ultrasound images of the carotid using RANSAC and cubic splines

• Type: Article in International Scientific Journal
• Date: 2011

Authors

Rui Rocha (Author) FEUP; Aurélio Campilho (Author) FEUP; Jorge A. Silva (Author) FEUP; Elsa Azevedo (Author) Other; Rosa Santos (Author) Other

Journal

Title: Computer Methods and Programs in Biomedicine

Vol. 101

Pages: 94-106

ISSN: 0169-2607

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 38 Citations

ISI Web of Science

Scopus - 45 Citations

Other information

Authenticus ID: P-002-Y92

DOI: 10.1016/j.cmpb.2010.04.015

Abstract (EN): A new algorithm is proposed for the semi-automatic segmentation of the near-end and the far-end adventitia boundary of the common carotid artery in ultrasound images. It uses the random sample consensus method to estimate the most significant cubic splines fitting the edge map of a longitudinal section. The consensus of the geometric model (a spline) is evaluated through a new gain function, which integrates the responses to different discriminating features of the carotid boundary: the proximity of the geometric model to any edge or to valley shaped edges; the consistency between the orientation of the normal to the geometric model and the intensity gradient; and the distance to a rough estimate of the lumen boundary. A set of 50 longitudinal B-mode images of the common carotid and their manual segmentations performed by two medical experts were used to assess the performance of the method. The image set was taken from 25 different subjects, most of them having plaques of different classes (class II to class IV), sizes and shapes. The quantitative evaluation showed promising results, having detection errors similar to the ones observed in manual segmentations for 95% of the far-end boundaries and 73% of the near-end boundaries.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13