| Paper Abstract and Keywords |
| Presentation |
2011-01-20 11:30
Estimation Method of Cortical Dysplasia Degree Using Fractal Dimension in Pediatric Brain MR Images Nobuyoshi Kawakami (Univ. of Hyogo), Syoji Kobashi, Kei Kuramoto (Univ. of Hyogo/WPI-IFReC), Yuri T. Kitamura, Kuriko Kagitani-Shimono (Osaka Univ.), Tomomoto Ishikawa (Ishikawa Hospital), Masako Taniike (Osaka Univ.), Yutaka Hata (Univ. of Hyogo/WPI-IFReC) MI2010-102 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
About 80% pediatric intractable epilepsy patients are accompanied with cortical dysplasia. Although electrocorticogram is high invasive, it is used to detect cortical dysplasia, today. The detection method using MR images is non-invasive for the human body. However, automated methods for detecting cortical dysplasia with MR images of pediatric brain are not established yet. In addition, image features on the pediatric brain MR images of cortical dysplasia are not clarified. This paper proposes an estimation method for detecting cortical dysplasia in pediatric brain MR images. And, fractal dimension and texture features are calculated. The experimental results in three patients with cortical dysplasia showed that a mean sensitivity of 94.3 %, a mean specificity of 84.5 %, and a mean efficiency of 87.2 %. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Cortical dysplasia / Epilepsy / Support vector machine / Fractal dimension / Texture features / MR image / Brain / Pediatric |
| Reference Info. |
IEICE Tech. Rep., vol. 110, no. 364, MI2010-102, pp. 109-114, Jan. 2011. |
| Paper # |
MI2010-102 |
| Date of Issue |
2011-01-12 (MI) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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| Download PDF |
MI2010-102 |