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Τίτλος: Completely automated multiresolution edge snapper (CAMES): A new technique for an accurate carotid ultrasound IMT measurement and its validation on a multi-institutional database
Συγγραφείς: Molinari, Filippo 
Loizou, Christos P. 
Zeng, Guang 
Pattichis, Constantinos S. 
Pantziaris, Marios 
Liboni, William 
Nicolaides, Andrew N. 
Suri, Jasjit S. 
Major Field of Science: Engineering and Technology
Field Category: Mechanical Engineering
Λέξεις-κλειδιά: Automated techniques;Carotid artery;Image frames;Integrated approach;Intima-media thickness;Measurement-based;Multi-resolution approach;Multi-resolutions
Ημερομηνία Έκδοσης: Φεβ-2011
Πηγή: SPIE Medical Imaging, 2011, 14–16 February, Lake Buena Vista (Orlando), Florida, United States
Περιοδικό: SPIE Medical Imaging 
Περίληψη: 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.
URI: https://hdl.handle.net/20.500.14279/23609
ISBN: 9780819485045
DOI: 10.1117/12.877131
Rights: © SPIE
Type: Conference Papers
Affiliation: Politecnico di Torino 
Intercollege 
Mayo Clinic 
University of Cyprus 
Cyprus Institute of Neurology and Genetics 
Gradenigo Hospital 
Biomedical Technologies 
Publication Type: Peer Reviewed
Εμφανίζεται στις συλλογές:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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