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Paper Abstract and Keywords
Presentation 2016-05-19 14:00
Automated Recognition of the Anatomical Attachment Location for Constructing the Skeletal Muscle Model in the Scapular Region
Tatsuya Katafuchi (Gifu Univ.), Naoki Kamiya (Aichi Pref. Univ.), Xiangrong Zhou (Gifu Univ.), Hiroki kato (Gifu Univ. Hosp.), Huayue Chen (Univ. of Occupational and Environmental Health), Asumi Kamiya (Higashi Nagoya Hosp.), Chisako Muramatsu, Takeshi Hara, Masayuki Matsuo, Hiroshi Fujita (Gifu Univ.) SIP2016-6 IE2016-6 PRMU2016-6 MI2016-6
Abstract (in Japanese) (See Japanese page) 
(in English) The effectiveness of automated recognition method using the skeletal muscle model has been demonstrated, as one of the automated recognition methods of skeletal muscles in the CT images. It is important to recognize anatomical attachment locations of skeletal muscles in order to use the skeletal muscle model. In the scapular region, many skeletal muscles including the supraspinatus muscle which we have already recognized are attached to the scapula. Scapula has many anatomical features, and its shape is complicated. In this study, we achieved automatic recognition of spine of scapula, coracoid process, superior margin, medial margin and superior angle by using scapula of 13 cases which were segmented from CT images. In the future, we will apply the anatomical features with high recognition rates in the skeletal muscle recognition.
Keyword (in Japanese) (See Japanese page) 
(in English) Scapular Region / Anatomical Attachment Location / Skeletal Muscle / CAD / Torso CT Image / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 39, MI2016-6, pp. 27-30, May 2016.
Paper # MI2016-6 
Date of Issue 2016-05-12 (SIP, IE, PRMU, MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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Download PDF SIP2016-6 IE2016-6 PRMU2016-6 MI2016-6

Conference Information
Committee PRMU IE MI SIP  
Conference Date 2016-05-19 - 2016-05-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2016-05-PRMU-IE-MI-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automated Recognition of the Anatomical Attachment Location for Constructing the Skeletal Muscle Model in the Scapular Region 
Sub Title (in English)  
Keyword(1) Scapular Region  
Keyword(2) Anatomical Attachment Location  
Keyword(3) Skeletal Muscle  
Keyword(4) CAD  
Keyword(5) Torso CT Image  
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Keyword(7)  
Keyword(8)  
1st Author's Name Tatsuya Katafuchi  
1st Author's Affiliation Gifu University (Gifu Univ.)
2nd Author's Name Naoki Kamiya  
2nd Author's Affiliation Aichi Prefectural University (Aichi Pref. Univ.)
3rd Author's Name Xiangrong Zhou  
3rd Author's Affiliation Gifu University (Gifu Univ.)
4th Author's Name Hiroki kato  
4th Author's Affiliation Gifu University Hospital (Gifu Univ. Hosp.)
5th Author's Name Huayue Chen  
5th Author's Affiliation University of Occupational and Environmental Health (Univ. of Occupational and Environmental Health)
6th Author's Name Asumi Kamiya  
6th Author's Affiliation Higashi Nagoya National Hospital (Higashi Nagoya Hosp.)
7th Author's Name Chisako Muramatsu  
7th Author's Affiliation Gifu University (Gifu Univ.)
8th Author's Name Takeshi Hara  
8th Author's Affiliation Gifu University (Gifu Univ.)
9th Author's Name Masayuki Matsuo  
9th Author's Affiliation Gifu University (Gifu Univ.)
10th Author's Name Hiroshi Fujita  
10th Author's Affiliation Gifu University (Gifu Univ.)
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Speaker Author-1 
Date Time 2016-05-19 14:00:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # SIP2016-6, IE2016-6, PRMU2016-6, MI2016-6 
Volume (vol) vol.116 
Number (no) no.36(SIP), no.37(IE), no.38(PRMU), no.39(MI) 
Page pp.27-30 
#Pages
Date of Issue 2016-05-12 (SIP, IE, PRMU, MI) 


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