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.
Original language | English |
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Title of host publication | Medical Imaging 2011 |
Subtitle of host publication | Image Processing |
Volume | 7962 |
DOIs | |
Publication status | Published - 2011 |
Event | Medical Imaging 2011: Image Processing - Lake Buena Vista, FL, United States Duration: 14 Feb 2011 → 16 Feb 2011 |
Other
Other | Medical Imaging 2011: Image Processing |
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Country/Territory | United States |
City | Lake Buena Vista, FL |
Period | 14/02/11 → 16/02/11 |