Presentation 2016-05-19
Automated Recognition of the Anatomical Attachment Location for Constructing the Skeletal Muscle Model in the Scapular Region
Tatsuya Katafuchi, Naoki Kamiya, Xiangrong Zhou, Hiroki kato, Huayue Chen, Asumi Kamiya, Chisako Muramatsu, Takeshi Hara, Masayuki Matsuo, Hiroshi Fujita,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Scapular Region / Anatomical Attachment Location / Skeletal Muscle / CAD / Torso CT Image
Paper # SIP2016-6,IE2016-6,PRMU2016-6,MI2016-6
Date of Issue 2016-05-12 (SIP, IE, PRMU, MI)

Conference Information
Committee PRMU / IE / MI / SIP
Conference Date 2016/5/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Eisaku Maeda(NTT) / Seishi Takamura(NTT) / Yoshitaka Masutani(Hiroshima City Univ.) / Osamu Houshuyama(NEC)
Vice Chair Shuji Senda(NEC) / Seiichi Uchida(Kyushu Univ.) / Takayuki Hamamoto(Tokyo Univ. of Science) / Atsuro Ichigaya(NHK) / Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.) / Makoto Nakashizuka(Chiba Inst. of Tech.) / Masahiro Okuda(Univ. of Kitakyushu)
Secretary Shuji Senda(Mie Univ.) / Seiichi Uchida(DENSO IT Lab.) / Takayuki Hamamoto(NTT) / Atsuro Ichigaya(Chiba Inst. of Tech.) / Yoshiki Kawata(Aichi Inst. of Tech.) / Yuichi Kimura(Nagoya Inst. of Tech.) / Makoto Nakashizuka(NEC) / Masahiro Okuda(Ritsumeikan Univ.)
Assistant Kazuaki Kondo(Kyoto Univ.) / Akisato Kimura(NTT) / Keita Takahashi(Nagoya Univ.) / Kei Kawamura(KDDI R&D Labs.) / Ryo Haraguchi(NCVC) / Yasushi Hirano(Yamaguchi Univ.) / Takamichi Miyata(Chiba Inst. of Tech.)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Image Engineering / Technical Committee on Medical Imaging / Technical Committee on Signal Processing
Language JPN
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
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.)
Date 2016-05-19
Paper # SIP2016-6,IE2016-6,PRMU2016-6,MI2016-6
Volume (vol) vol.116
Number (no) SIP-36,IE-37,PRMU-38,MI-39
Page pp.pp.27-30(SIP), pp.27-30(IE), pp.27-30(PRMU), pp.27-30(MI),
#Pages 4
Date of Issue 2016-05-12 (SIP, IE, PRMU, MI)