TY - GEN
T1 - Texture analysis in ultrasound images of carotid plaque components of asymptomatic and symptomatic subjects
AU - Loizou, Christos P.
AU - Pantziaris, Marios
AU - Theofilou, Marilena
AU - Kasparis, Takis
AU - Kyriakou, Efthivoulos
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Atherosclerotic carotid plaque components
KW - Carotid artery
KW - Texture analysis
KW - Ultrasound image
UR - http://www.scopus.com/inward/record.url?scp=84894100156&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-41142-7_29
DO - 10.1007/978-3-642-41142-7_29
M3 - Conference contribution
AN - SCOPUS:84894100156
SN - 9783642411410
VL - 412
T3 - IFIP Advances in Information and Communication Technology
SP - 282
EP - 291
BT - Artificial Intelligence Applications and Innovations - 9th IFIPWG 12.5 International Conference, AIAI 2013, Proceedings
T2 - 9th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2013
Y2 - 30 September 2013 through 2 October 2013
ER -