Cortical Dysplasia Detection Method with Support Vector Machine in Pediatric Brain MR Images(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
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概要
- 論文の詳細を見る
Because most of refractory patients with focal cortical dysplasia are candidate for epilepsy surgery, it is important to detect cortical dysplasia of epileptic children. This paper proposes an automated method for detecting cortical dysplasia using magnetic resonance (MR) images. To evaluate the cerebral cortex layer, the proposed method extracts texture features of a region which is perpendicular to the cerebral surface. Cortical dysplasia degree (C.D.D.) is estimated by using support vector machine (SVM). The experimental results for two subjects showed that the proposed method detected cortical dysplasia lesions with a mean sensitivity of 68.6%, a mean specificity of 67.0%, and a mean efficiency of 68.1%.
- 社団法人電子情報通信学会の論文
- 2009-01-12
著者
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KOBASHI Syoji
Graduate School of Engineering, University of Hyogo
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HATA Yutaka
Graduate School of Engineering, University of Hyogo
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Imawaki Seturo
Ishikawa Hospital
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Hata Yutaka
Graduate School Of Engineering University Of Hyogo:wpi Immunology Frontier Research Center Osaka Uni
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Hata Yutaka
Graduate School Of Engineering Himeji Institute Of Technology
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Kobashi Syoji
Graduate School Of Engineering University Of Hyogo:wpi Immunology Frontier Research Center Osaka Uni
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Kobashi Syoji
Graduate School Of Engineering Himeji Institute Of Technology
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Taniike Masako
Osaka University Graduate School Of Medicine
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Kagitani-shimono Kuriko
Osaka University Graduate School Of Medicine
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KAWAKAMI Nobuyoshi
Department of Electrical Engineering and Computer Sciences, University of Hyogo
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Kawakami Nobuyoshi
Department Of Electrical Engineering And Computer Sciences University Of Hyogo
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