Segmentation of ultrasonic images of the carotid

• Type: Article in International Scientific Journal
• Date: 2005

Authors

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

Journal

The Journal is awaiting validation by the Administrative Services.

Title: INTERACTIVE SYSTEMS: DESIGN, SPECIFICATION, AND VERIFICATION

Vol. 23

Pages: 949-957

Indexing

ISI Proceedings

ISI Web of Knowledge - 3 Citations

ISI Web of Science

Scopus - 2 Citations

Scientific classification

CORDIS: Technological sciences > Engineering > Biomedical enginnering

Other information

Authenticus ID: P-000-5X4

DOI: 10.1007/11559573_115

Abstract (EN): A new algorithm for an effective and automatic segmentation of the carotid wall in ultrasonic images is proposed. It combines the speed of thresholding algorithms with the accuracy, flexibility and robustness of a successful geometric active contour model which incorporates an optimal image segmentation model in a level set framework. Due to the multiphase nature of these images, a sequential minimum cross entropy thresholding is used to get a first approximation of the segments, reducing the problem to a two phase segmentation. This thresholding solution is then used as a starting point for a two phase piecewise constant version of a geometric active contour model to reduce noise, smooth contours, improve their position accuracy and close eventual gaps in the carotid wall.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9