Pattern recognition system for the discrimination of multiple sclerosis from cerebral microangiopathy lesions based on texture analysis of magnetic resonance images |
| |
Authors: | Theocharakis Pantelis Glotsos Dimitris Kalatzis Ioannis Kostopoulos Spiros Georgiadis Pantelis Sifaki Koralia Tsakouridou Katerina Malamas Menelaos Delibasis George Cavouras Dionisis Nikiforidis George |
| |
Institution: | Department of Medical Physics, Medical Image Processing and Analysis Laboratory, University of Patras, 26500 Rio-Patras, Greece. theochar@upatras.gr |
| |
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. |
| |
Keywords: | Multiple sclerosis Cerebral microangiopathy Probabilistic neural network Differential diagnosis |
本文献已被 ScienceDirect PubMed 等数据库收录! |