An automated technique for carotid far wall classification using grayscale features and wall thickness variability

• Main Authors: Acharya, U.R., Sree, S.V., Molinari, F., Saba, L., Nicolaides, A., Suri, J.S.
• Format: Article
• Published: Wiley Black 2015
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/15750/; http://www.ncbi.nlm.nih.gov/pubmed/24909942
• Institution: Universiti Malaya

PurposeTo test a computer-aided diagnostic method for differentiating symptomatic from asymptomatic carotid B-mode ultrasonographic images. MethodsOur system (called Atheromatic) automatically computed the intima-media thickness (IMT) of the carotid far wall using AtheroEdge, calculated nonlinear fe...