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Proceedings Paper

Completely automated multiresolution edge snapper (CAMES): a new technique for an accurate carotid ultrasound IMT measurement and its validation on a multi-institutional database
Author(s): Filippo Molinari; Christos Loizou; Guang Zeng; Costantinos Pattichis; Marios Pantziaris; William Liboni; Andrew Nicolaides; Jasjit S. Suri
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Paper Abstract

Since 2005, our research team has been developing automated techniques for carotid artery (CA) wall segmentation and intima-media thickness (IMT) measurement. We developed a snake-based technique (which we named CULEX1,2), a method based on an integrated approach of feature extraction, fitting, and classification (which we named CALEX3), and a watershed transform based algorithm4. Each of the previous methods substantially consisted in two distinct stages: Stage-I - Automatic carotid artery detection. In this step, intelligent procedures were adopted to automatically locate the CA in the image frame. Stage-II - CA wall segmentation and IMT measurement. In this second step, the CA distal (or far) wall is segmented in order to trace the lumen-intima (LI) and media-adventitia (MA) boundaries. The distance between the LI/MA borders is the IMT estimation. The aim of this paper is the description of a novel and completely automated technique for carotid artery segmentation and IMT measurement based on an innovative multi-resolution approach.

Paper Details

Date Published: 6 May 2011
PDF: 10 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79623T (6 May 2011); doi: 10.1117/12.877131
Show Author Affiliations
Filippo Molinari, Politecnico di Torino (Italy)
Christos Loizou, Intercollege Limassol Campus (Cyprus)
Guang Zeng, Mayo Clinic (United States)
Costantinos Pattichis, Univ. of Cyprus (Cyprus)
Marios Pantziaris, Cyprus Institute of Neurology and Genetics (Cyprus)
William Liboni, Gradenigo Hospital (Italy)
Andrew Nicolaides, Univ. of Cyprus (Cyprus)
Jasjit S. Suri, Biomedical Technologies, Inc. (United States)

Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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