title: Pattern recognition system for the discrimination of multiple sclerosis from cerebral microangiopathy lesions based on texture analysis of magnetic resonance images.
abstract: In this study, a pattern recognition system has been developed for the discrimination of multiple sclerosis (MS) from cerebral microangiopathy (CM) lesions based on computer-assisted texture analysis of magnetic resonance images. Twenty-three textural features were calculated from MS and CM regions of interest, delineated by experienced radiologists on fluid attenuated inversion recovery images and obtained from 11 patients diagnosed with clinically definite MS and from 18 patients diagnosed with clinically definite CM. The probabilistic neural network classifier was used to construct the proposed pattern recognition system and the generalization of the system to unseen data was evaluated using an external cross validation process. According to the findings of the present study, statistically significant differences exist in the values of the textural features between CM and MS: MS regions were darker, of higher contrast, less homogeneous and rougher as compared to CM.
authors.affiliation: Department of Medical Physics, Medical Image Processing and Analysis Laboratory, University of Patras, 26500 Rio-Patras, Greece. theochar@upatras.gr
authors.forename: Pantelis
authors.initials: P
authors.lastname: Theocharakis
authors.forename: Dimitris
authors.initials: D
authors.lastname: Glotsos
authors.forename: Ioannis
authors.initials: I
authors.lastname: Kalatzis
authors.forename: Spiros
authors.initials: S
authors.lastname: Kostopoulos
authors.forename: Pantelis
authors.initials: P
authors.lastname: Georgiadis
authors.forename: Koralia
authors.initials: K
authors.lastname: Sifaki
authors.forename: Katerina
authors.initials: K
authors.lastname: Tsakouridou
authors.forename: Menelaos
authors.initials: M
authors.lastname: Malamas
authors.forename: George
authors.initials: G
authors.lastname: Delibasis
authors.forename: Dionisis
authors.initials: D
authors.lastname: Cavouras
authors.forename: George
authors.initials: G
authors.lastname: Nikiforidis
mesh_terms: D000328:Adult; D000465:Algorithms; D001185:Artificial Intelligence; D002561:Cerebrovascular Disorders / Q000473:pathology*; D003937:Diagnosis, Differential; D016002:Discriminant Analysis; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009103:Multiple Sclerosis / Q000473:pathology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity