TY - GEN
T1 - AM-FM texture image analysis of the intima and media layers of the carotid artery
AU - Loizou, Christos P.
AU - Murray, Victor
AU - Pattichis, Marios S.
AU - Christodoulou, Christodoulos S.
AU - Pantziaris, Marios
AU - Nicolaides, Andrew
AU - Pattichis, Constantinos S.
PY - 2009
Y1 - 2009
N2 - The purpose of this paper is to propose the use of amplitude modulation-frequency modulation (AM-FM) features for describing atherosclerotic plaque features that are associated with clinical factors such as intima media thickness and a patient's age. AM-FM analysis reveals the instantaneous amplitude (IA) of the media layer decreases with age. This decrease in IA maybe attributed to the reduction in calcified, stable plaque components and an increase in stroke risk with age. On the other hand, an increase in the median instantaneous frequency (IF) of the media layer suggests the fragmentation of solid, large plaque components, which also lead to an increase in the risk of stroke. The findings suggest that AM-FM features can be used to assess the risk of stroke over a wide range of patient populations. Future work will incorporate a new texture image retrieval system that uses AM-FM features to retrieve intima and intima media layer images that could be associated with the same level of the risk of stroke.
AB - The purpose of this paper is to propose the use of amplitude modulation-frequency modulation (AM-FM) features for describing atherosclerotic plaque features that are associated with clinical factors such as intima media thickness and a patient's age. AM-FM analysis reveals the instantaneous amplitude (IA) of the media layer decreases with age. This decrease in IA maybe attributed to the reduction in calcified, stable plaque components and an increase in stroke risk with age. On the other hand, an increase in the median instantaneous frequency (IF) of the media layer suggests the fragmentation of solid, large plaque components, which also lead to an increase in the risk of stroke. The findings suggest that AM-FM features can be used to assess the risk of stroke over a wide range of patient populations. Future work will incorporate a new texture image retrieval system that uses AM-FM features to retrieve intima and intima media layer images that could be associated with the same level of the risk of stroke.
UR - http://www.scopus.com/inward/record.url?scp=70450182612&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-04277-5_89
DO - 10.1007/978-3-642-04277-5_89
M3 - Conference contribution
AN - SCOPUS:70450182612
SN - 3642042767
SN - 9783642042768
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 885
EP - 894
BT - Artificial Neural Networks - ICANN 2009 - 19th International Conference, Proceedings
T2 - 19th International Conference on Artificial Neural Networks, ICANN 2009
Y2 - 14 September 2009 through 17 September 2009
ER -