Ultrasound imaging in the analysis of carotid plaque morphology for the assessment of stroke.
The aim of this chapter is to summarise the recent advances in ultrasonic plaque characterisation and to evaluate the efficacy of computer aided diagnosis based on neural and statistical classifiers using as input texture and morphological features. Several classifiers like the K-Nearest Neighbour (KNN) the Probabilistic Neural Network (PNN) and the Support Vecton Machine (SVM) are evaluated resulting to a diagnostic accuracy up to 71.2%.
Kyriacou
Efthyvoulos
E
Department of Computer Science, University of Cyprus, Nicosia, Cyprus.
Pattichis
Marios S
MS
Christodoulou
Christodoulos I
CI
Pattichis
Constantinos S
CS
Kakkos
Stavros
S
Griffin
Maura
M
Nicolaides
Andrew
A
D000465:Algorithms; D003936:Diagnosis, Computer-Assisted; D003952:Diagnostic Imaging; D006801:Humans; D016571:Neural Networks, Computer; D020521:Stroke; D014465:Ultrasonics