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

Acharya, U.R. and Sree, S.V. and Molinari, F. and Saba, L. and Nicolaides, A. and Suri, J.S. (2015) An automated technique for carotid far wall classification using grayscale features and wall thickness variability. Journal of Clinical Ultrasound, 43 (5). pp. 302-311. ISSN 0091-2751

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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 features based on higher order spectra, and used these features and IMT and IMT variability (IMTVpoly) to associate each image to a feature vector that was then labeled as symptomatic or asymptomatic (Sym/Asym) by a multiclassifiers system. We tested this method on a database of 118 carotid artery images from 37 symptomatic and 22 asymptomatic patients ResultsThe highest accuracy (99.1) was obtained by the support vector machine classifier using seven features. These features, relevant to discriminate Sym/Asym, included IMT and IMTVpoly, along with the bispectral entropies of the distal wall image at 77 degrees, 78 degrees, and 79 degrees angles. ConclusionsClassification in Sym/Asym of the far carotid wall is feasible and accurate and could be useful for the early detection of atherosclerosis and to identify patients with higher cardiovascular risk. (c) 2014 Wiley Periodicals, Inc. J Clin Ultrasound 43:302-311, 2015

Item Type: Article
Additional Information: ISI Document Delivery No.: CG5SP Times Cited: 0 Cited Reference Count: 32 Cited References: AbuRahma AF, 2002, STROKE, V33, P1772, DOI 10.1161/01.STR.0000019127.11189.B5 Acharya UR, 2012, BIOMED SIGNAL PROCES, V7, P401, DOI 10.1016/j.bspc.2011.07.007 Acharya UR, 2013, MED BIOL ENG COMPUT, V51, P513, DOI 10.1007/s11517-012-1019-0 Acharya UR, 2013, COMPUT METH PROG BIO, V110, P66, DOI 10.1016/j.cmpb.2012.09.008 Blaise BJ, 2010, J PROTEOME RES, V9, P4513, DOI 10.1021/pr1002615 Carter-Monroe N, 2011, ATHEROSCLEROSIS DISEASE MANAGEMENT, P3, DOI 10.1007/978-1-4419-7222-4₁ Cheng XY, 2012, J CLIN ULTRASOUND, V40, P559, DOI 10.1002/jcu.21987 Christodoulou CI, 2003, IEEE T MED IMAGING, V22, P902, DOI 10.1109/TMI.2003.815066 Chua K. C., 2009, Journal of Medical Engineering & Technology, V33, P42, DOI 10.1080/03091900701559408 Elatrozy T, 1998, INT ANGIOL, V17, P179 Inzitari D, 2000, NEW ENGL J MED, V342, P1693, DOI 10.1056/NEJM200006083422302 Kyriacou E, 2005, ST HEAL T, V113, P241 Kyriacou EC, 2010, IEEE T INF TECHNOL B, V14, P1027, DOI 10.1109/TITB.2010.2047649 Lorenz MW, 2007, CIRCULATION, V115, P459, DOI 10.1161/CIRCULATIONAHA.106.628875 Molinari F, 2010, EURASIP J ADV SIG PR, DOI 10.1155/2010/459213 Molinari F, 2012, IEEE T IMAGE PROCESS, V21, P1211, DOI 10.1109/TIP.2011.2169270 Molinari F, 2010, J VASC ULTRASOUND, V34, P63 Molinari F, 2010, COMPUT METH PROG BIO, V100, P201, DOI 10.1016/j.cmpb.2010.04.007 Molinari F, 2012, ULTRASONICS, V52, P949, DOI 10.1016/j.ultras.2012.03.005 Molinari F, 2012, J ULTRAS MED, V31, P1123 Mougiakakou SG, 2007, ULTRASOUND MED BIOL, V33, P26, DOI 10.1016/j.ultrasmedbio.2006.07.032 Muller KR, 2001, IEEE T NEURAL NETWOR, V12, P181, DOI 10.1109/72.914517 Nikias C. L., 1993, HIGHER ORDER SPECTRA Polak JF, 1998, RADIOLOGY, V208, P649 Ross R, 1999, NEW ENGL J MED, V340, P115 Saba L, 2012, ECHOCARDIOGR-J CARD, V2012, P2668 Saba L, 2012, INT ANGIOL, V31, P483 Sanchez A., 2003, NEUROCOMPUTING, V55, P5 Seabra J, 2010, IEEE ENG MED BIO, P6110, DOI 10.1109/IEMBS.2010.5627811 Touboul PJ, 2007, CEREBROVASC DIS, V23, P75, DOI 10.1159/000097034 Virmani R, 2000, ARTERIOSCL THROM VAS, V20, P1262 World Health Organization (WHO), 2013, CARD DIS Acharya, U. Rajendra Sree, S. Vinitha Molinari, Filippo Saba, Luca Nicolaides, Andrew Suri, Jasjit S. Engineering, Faculty /I-7935-2015 Engineering, Faculty /0000-0002-4848-7052 0 WILEY-BLACKWELL HOBOKEN J CLIN ULTRASOUND
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 08 Apr 2016 02:29
Last Modified: 08 Apr 2016 02:29

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