Atheromatic™: Symptomatic vs. asymptomatic classification of carotid ultrasound plaque using a combination of HOS, DWT & texture

U. R. Acharya, O. Faust, S. V. Sree, A. P. C. Alvin, G. Krishnamurthi, J. C. R. Seabra, J. Sanches, J. S. Suri
2011 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
Quantitative characterization of carotid atherosclerosis and classification into either symptomatic or asymptomatic is crucial in terms of diagnosis and treatment planning for a range of cardiovascular diseases. This paper presents a computeraided diagnosis (CAD) system (Atheromatic™, patented technology from Biomedical Technologies, Inc., CA, USA) which analyzes ultrasound images and classifies them into symptomatic and asymptomatic. The classification result is based on a combination of
more » ... te wavelet transform, higher order spectra and textural features. In this study, we compare support vector machine (SVM) classifiers with different kernels. The classifier with a radial basis function (RBF) kernel achieved an accuracy of 91.7% as well as a sensitivity of 97%, and specificity of 80%. Encouraged by this result, we feel that these features can be used to identify the plaque tissue type. Therefore, we propose an integrated index, a unique number called symptomatic asymptomatic carotid index (SACI) to discriminate symptomatic and asymptomatic carotid ultrasound images. We hope this SACI can be used as an adjunct tool by the vascular surgeons for daily screening.
doi:10.1109/iembs.2011.6091113 pmid:22255336 dblp:conf/embc/AcharyaFSAKSSS11 fatcat:d2f62bglq5bcjnwl24ub464wqe