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Paper Abstract and Keywords
Presentation 2012-12-12 15:10
Examination of Fuzzy Object Model using Brain Segmentation from Newborn Head MR Images
Aya Hashioka (Univ. of Hyogo), Syoji Kobashi, Kei Kuramoto (Univ. of Hyogo/ WPI-IFReC), Yuki Wakata, Kumiko Ando, Reiichi Ishikura (Hyogo College of Medicine), Tomomoto Ishikawa (Ishikawa Hospital), Shozo Hirota (Hyogo College of Medicine), Yutaka Hata (Univ. of Hyogo/ WPI-IFReC)
Abstract (in Japanese) (See Japanese page) 
(in English) Neonatal cerebral disorders such as hypoxic-ischemic encephalopathy might deform the brain shape, and reduce patient's cerebral functions. Early detecting and rapid cure of the cerebral disorders prevents the cerebral disorders developing worse. For quantitative diagnosis of the cerebral disorders, measurement of cerebral volume and surface area is effective. In this research, we propose an automated brain segmentation method for newborn brain. The proposed method produces fuzzy object models from learning dataset. Fuzzy object models express brain features by fuzzy membership functions. Using the FOMs, deformable surface model estimates subject's brain region. We applied the proposed method to 12 newborn subjects. From experimental results, the proposed method can segment the brain segmentation with high segmentation accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) magnetic resonance images / newborn / brain segmentation / fuzzy object model / deformable surface model / / /  
Reference Info. ITE Tech. Rep., vol. 36, no. 54, ME2012-145, pp. 65-68, Dec. 2012.
Paper # ME2012-145 
Date of Issue 2012-12-04 (ME) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee ME IEICE-BioX  
Conference Date 2012-12-11 - 2012-12-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Saitama Inst. of Tech. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2012-12-ME-BioX 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Examination of Fuzzy Object Model using Brain Segmentation from Newborn Head MR Images 
Sub Title (in English)  
Keyword(1) magnetic resonance images  
Keyword(2) newborn  
Keyword(3) brain segmentation  
Keyword(4) fuzzy object model  
Keyword(5) deformable surface model  
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1st Author's Name Aya Hashioka  
1st Author's Affiliation University of Hyogo (Univ. of Hyogo)
2nd Author's Name Syoji Kobashi  
2nd Author's Affiliation University of Hyogo/ WPI Immunology Frontier Research Center, Osaka University (Univ. of Hyogo/ WPI-IFReC)
3rd Author's Name Kei Kuramoto  
3rd Author's Affiliation University of Hyogo/ WPI Immunology Frontier Research Center, Osaka University (Univ. of Hyogo/ WPI-IFReC)
4th Author's Name Yuki Wakata  
4th Author's Affiliation Hyogo College of Medicine (Hyogo College of Medicine)
5th Author's Name Kumiko Ando  
5th Author's Affiliation Hyogo College of Medicine (Hyogo College of Medicine)
6th Author's Name Reiichi Ishikura  
6th Author's Affiliation Hyogo College of Medicine (Hyogo College of Medicine)
7th Author's Name Tomomoto Ishikawa  
7th Author's Affiliation Ishikawa Hospital (Ishikawa Hospital)
8th Author's Name Shozo Hirota  
8th Author's Affiliation Hyogo College of Medicine (Hyogo College of Medicine)
9th Author's Name Yutaka Hata  
9th Author's Affiliation University of Hyogo/ WPI Immunology Frontier Research Center, Osaka University (Univ. of Hyogo/ WPI-IFReC)
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Speaker
Date Time 2012-12-12 15:10:00 
Presentation Time 25 
Registration for ME 
Paper # ITE-ME2012-145 
Volume (vol) ITE-36 
Number (no) no.54 
Page pp.65-68 
#Pages ITE-4 
Date of Issue ITE-ME-2012-12-04 


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