Abstract
There are indications that the texture of certain components of atherosclerotic carotid plaques in the common carotid artery (CCA), obtained by high resolution ultrasound imaging, may have additional prognostic implication for the risk of stroke. The objective of this study was to perform texture analysis of the middle component of atherosclerotic carotid plaques in 230 CCA plaque ultrasound images (115 asymptomatic and 115 symptomatic). These were manually delineated by a neurovascular expert after normalization and despeckle filtering using the linear despeckle filter (DsFlsmv). Texture features were extracted from the middle plaque component. We found statistical significant differences for some of the texture features extracted, between asymptomatic and symptomatic subjects. The results showed that it may be possible to identify a group of patients at risk of stroke (asymptomatic versus symptomatic) based on texture features extracted from the middle component of the atherosclerotic carotid plaque in ultrasound images of the CCA.
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Mendis, S., Puska, P., Norrving, B.: Global Atlas on cardiovascular disease prevention and control. WHO (2012) ISBN 978-92-4-156437-3
Executive committee for the asymptomatic carotid atherosclerosis study: Endarterectomy for asymptomatic carotid stenosis. J. Am. Med. Assoc. 273, 142–1428 (2002)
Nicolaides, A.N., Sabetai, M., Kakkos, S.K., Dhanjil, S., Tegos, T., Stevens, J.M.: The asymptomatic carotid stenosis and risk of stroke study. Int. Angiol. 22(3), 263–272 (2003)
Loizou, C.P., Pattichis, C.S., Pantziaris, M., Nicolaides, A.N.: An integrated system for the segmentation of atherosclerotic carotid plaque. IEEE Trans. Inform. 11(6), 661–667 (2007)
Loizou, C.P., Kasparis, T., Spyrou, C., Pantziaris, M.: Integrated system for the complete segmentation of the common carotid artery bifurcation in ultrasound images. In: Papadopoulos, H., Andreou, A.S., Iliadis, L., Maglogiannis, I. (eds.) AIAI 2013. IFIP AICT, vol. 412, pp. 292–301. Springer, Heidelberg (2013)
Loizou, C.P., Pattichis, C.S., Petroudi, S., Kasparis, T., Pantziaris, M., Nicolaides, A.N.: Segmentation of atherosclerotic carotid plaque in ultrasound video. In: 34th Ann. Int. Conf. IEEE Eng. Med. Biol., San Diego, USA, August 28-September1, pp. 53–56 (2012)
Griffin, M., Kyriakou, E., Pattichis, C.S., Bond, D., et al.: Juxtaluminal hypoechoic area in ultrasonic images of carotid plaques and hymispheric symptoms. J. Vasc. Surg. 52(1), 69–76 (2010)
Geroulakos, G., Ramaswami, G., Nicolaides, A.N., James, K., Labropoulos, N., Belcaro, G., et al.: Characterization of symptomatic and asymptomatic carotid plaques using high-resolution real-time ultrasonography. Br. J. Surg. 80, 1274–1277 (1993)
Christodoulou, C., Pattichis, C.S., Pantziaris, M., Nicolaides, A.N.: Texture-based classification of atherosclerotic carotid plaques. IEEE Trans. Med. Imag. 22, 902–912 (2003)
Kyriakou, E., Pattichis, M.S., Christodoulou, C.I., Pattichis, C.S., et al.: Ultrasound imaging in the analysis of carotid plaque morphology for the assessment of stroke. In: Suri, J.S., Yuan, C., Wilson, D.L., Laxminarayan, S. (eds.) Plaque Imaging: Pixel to Molecular level, pp. 241–275. IOS Press (2005)
A Philips Medical System Company. Comparison of image clarity, SonoCT real-time compound imaging versus conventional 2D ultrasound imaging. ATL Ultrasound, Report (2001)
Elatrozy, T., Nicolaides, A.N., Tegos, T., Zarka, A., Griffin, M., Sabetai, M.: The effect of B-mode ultrasonic image standardization of the echodensity of symptomatic and asymptomatic carotid bifurcation plaque. Int. Angiol. 17(3), 179–186 (1998)
Lee, J.S.: Digital image enhancement and noise filtering by using local statistics. IEEE Trans. Pattern Anal. Mach. Intellig. PAMI-2(2), 165–168 (1980)
Loizou, C.P., Pattichis, C.S., Christodoulou, C.I., Istepanian, R.S.H., Pantziaris, M., Nicolaides, A.: Comparative evaluation of despeckle filtering in ultrasound imaging of the carotid artery. IEEE Trans. Ultras. Ferroel. Freq. Contr. 52(10), 1653–1669 (2005)
Haralick, R.M., Shanmugam, K., Dinstein, I.: Texture features for image classification. IEEE Trans. Systems, Man., Cyber. SMC-3, 610–621 (1973)
Weszka, J.S., Dyer, C.R., Rosenfield, A.: A comparative study of texture measures for terrain classification. IEEE Trans. Syst. Man. Cyber. SMC-6, 269–285 (1976)
Amadasun, M., King, R.: Textural features corresponding to textural properties. IEEE Trans. Syst. Man. Cyber. 19(5), 1264–1274 (1989)
Wu, C.M., Chen, Y.C., Hsieh, K.-S.: Texture features for classification of ultrasonic images. IEEE Trans. Med. Imag. 11, 141–152 (1992)
Chen, T.-J., et al.: A novel image quality index using Moran I statistics. Ph. in Medic. Biol. 48, 131–137 (2003)
Bland, J.M., Altman, D.G.: Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1(8476), 307–310 (1986)
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Loizou, C.P., Pantziaris, M., Theofilou, M., Kasparis, T., Kyriakou, E. (2013). Texture Analysis in Ultrasound Images of Carotid Plaque Components of Asymptomatic and Symptomatic Subjects. In: Papadopoulos, H., Andreou, A.S., Iliadis, L., Maglogiannis, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2013. IFIP Advances in Information and Communication Technology, vol 412. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41142-7_29
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