Completely automated multiresolution edge snapper (CAMES): a new technique for an accurate carotid ultrasound IMT measurement and its validation on a multi-institutional database

6 May 2011 Completely automated multiresolution edge snapper (CAMES): a new technique for an accurate carotid ultrasound IMT measurement and its validation on a multi-institutional database

Filippo Molinari, Christos Loizou, Guang Zeng, Costantinos Pattichis, Marios Pantziaris, William Liboni, Andrew Nicolaides, Jasjit S. Suri

Author Affiliations +

Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 79623T (2011) https://doi.org/10.1117/12.877131
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

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 CULEX^1,2), 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.

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Filippo Molinari, Christos Loizou, Guang Zeng, Costantinos Pattichis, Marios Pantziaris, William Liboni, Andrew Nicolaides, and Jasjit S. Suri "Completely automated multiresolution edge snapper (CAMES): a new technique for an accurate carotid ultrasound IMT measurement and its validation on a multi-institutional database", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79623T (6 May 2011); https://doi.org/10.1117/12.877131

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