Pattern recognition system for the discrimination of multiple sclerosis from cerebral microangiopathy lesions based on texture analysis of magnetic resonance images

详细信息    查看全文

• 作者：Pantelis Theocharakis ; Dimitris Glotsos ; Ioannis Kalatzis ; Spiros Kostopoulos ; Pantelis Georgiadis ; Koralia Sifaki ; Katerina Tsakouridou ; Menelaos Malamas ; George Delibasis ; Dionisis Cavouras ; George
• 关键词：Multiple sclerosis ; Cerebral microangiopathy ; Probabilistic neural network ; Differential diagnosis
• 刊名：Magnetic Resonance Imaging
• 出版年：2009
• 出版时间：April 2009
• 年：2009
• 卷：27
• 期：3
• 页码：417-422
• 全文大小：274 K

文摘

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.