%0 Conference Proceedings
%T Texture Analysis in Ultrasound Images of Carotid Plaque Components of Asymptomatic and Symptomatic Subjects
%+ Intercollege
%+ Cyprus Institute of Neurology and Genetics
%+ Cyprus University of Technology
%+ Frederick University Cyprus
%A Loizou, Christos, P.
%A Pantziaris, Marios
%A Theofilou, Marilena
%A Kasparis, Takis
%A Kyriakou, Efthivoulos
%Z Part 8: Third Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2013)
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 9th Artificial Intelligence Applications and Innovations (AIAI)
%C Paphos, Greece
%Y Harris Papadopoulos
%Y Andreas S. Andreou
%Y Lazaros Iliadis
%Y Ilias Maglogiannis
%I Springer
%3 Artificial Intelligence Applications and Innovations
%V AICT-412
%P 282-291
%8 2013-09-30
%D 2013
%R 10.1007/978-3-642-41142-7_29
%K Atherosclerotic carotid plaque components
%K texture analysis
%K ultrasound image
%K carotid artery
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 12
%Z WG 12.5
%2 https://inria.hal.science/hal-01459622/document
%2 https://inria.hal.science/hal-01459622/file/978-3-642-41142-7_29_Chapter.pdf
%L hal-01459622
%U https://inria.hal.science/hal-01459622
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-AIAI
%~ IFIP-WG12-5
%~ IFIP-AICT-412