Cortical dysplasia detection from neonatal brain MR images usingintelligent medical image processing
Project/Area Number |
22680020
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Research Category |
Grant-in-Aid for Young Scientists (A)
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Allocation Type | Single-year Grants |
Research Field |
Sensitivity informatics/Soft computing
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Research Institution | University of Hyogo |
Principal Investigator |
KOBASHI Syoji 兵庫県立大学, 大学院・工学研究科, 准教授 (00332966)
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Project Period (FY) |
2010 – 2012
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Project Status |
Completed (Fiscal Year 2012)
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Budget Amount *help |
¥20,020,000 (Direct Cost: ¥15,400,000、Indirect Cost: ¥4,620,000)
Fiscal Year 2012: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2011: ¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2010: ¥10,270,000 (Direct Cost: ¥7,900,000、Indirect Cost: ¥2,370,000)
|
Keywords | 難治てんかん / 皮質形成異常 / 核磁気共鳴画像 / ソフトコンピューティング / 計算機画像診断支援 / 知的画像処理 / 新生児 / MRI / ファジィ論理 / 医用画像処理 / 子ども / てんかん / MR画像 / 新生児・幼児 / コンピュータ画像診断支援 / 脳 / 脳回 |
Research Abstract |
Although subdural electrode has been used to detect cortical dysplasia, it cannot be applied to allpatients because of invasively . And, it cannot determine the boundary of cortical dysplasia legion. Thisstudy proposed a non-invasive cortical dysplasia detection and region segmentation method usingmagnetic resonance (MR) images. Firstly , this study proposed parenchyma segmentation method inbrain MR images based on fuzzy object model. Secondly , this study proposed a method of estimatingdegree cortical dysplasia using texture features and fractal dimension. The experimental results showedthe proposed method segmented the parenchymal region with a false-positive-volume-fraction of 0.75 %and detected cortical dysplasia with a mean sensitivity of about 90 %.
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Report
(4 results)
Research Products
(36 results)
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[Journal Article] Particle Method for Sub-voxel Extraction of Cerebral Surface in Neonatal MR Images2011
Author(s)
D.Yokomichi, S.Kobashi, Y.Wakata, K.Ando, R.Ishikura, K.Kuramoto, T.Ishikawa, S.Hirota, Y.Hata
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Journal Title
Proc.of The 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition
Pages: 474-479
Related Report
Peer Reviewed
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[Presentation] 新生児頭部MR画像を用いた脳形状正規化法2011
Author(s)
橋岡亜弥, 小橋昌司, 倉本圭, 若田ゆき, 安藤久美子, 石蔵礼一, 石川智基, 廣田省三, 畑豊
Organizer
メディカルイメージング連合フォーラム
Place of Presentation
てんぶす那覇(沖縄)
Year and Date
2011-01-19
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