Presentation 2015-05-15
Initial study of an automated recognition method of the supraspinatus muscle based on a muscle direction model in torso CT images
Tatsuya Katafuchi, Naoki Kamiya, Masanori Kume, Xiangrong Zhou, Huayue Chen, Asumi Kamiya, Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The supraspinatus muscle is a functionally important muscle in four muscle groups that constitute the cuff. In this research, we propose an automatic recognition method of the supraspinatus muscle. We determine the muscular direction using the origin and insertion of the supraspinatus muscle, and construct the direction model. The proposed method is applied to eight normal adult CT cases. Recognition result in terms of the average concordance rate was 63.0%. The recognition was possible even in cases with individual variations. Therefore, it is considered that the method is effective for the automatic recognition of supraspinatus muscle. In the future, we will improve the segmentation accuracy of the supraspinatus muscle area by defining the precise skeleton area.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Supraspinatus Muscle / CAD / Torso CT Image / Skeletal Muscle
Paper # SIP2015-22,IE2015-22,PRMU2015-22,MI2015-22
Date of Issue 2015-05-07 (SIP, IE, PRMU, MI)

Conference Information
Committee PRMU / MI / IE / SIP
Conference Date 2015/5/14(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Kazuhiko Sumi(Aoyama Gakuin Univ.) / Akinobu Shimizu(Tokyo Univ. of Agric. and Tech.) / Toshiaki Fujii(Nagoya Univ.) / Yoshinobu Kajikawa(Kansai Univ.)
Vice Chair Koichi Kise(Osaka Pref. Univ.) / Shuji Senda(NEC) / Yoshitaka Masutani(Hiroshima City Univ.) / Kensaku Mori(Nagoya Univ.) / Seishi Takamura(NTT) / Takayuki Hamamoto(Tokyo Univ. of Science) / Osamu Houshuyama(NEC) / Makoto Nakashizuka(Chiba Inst. of Tech.)
Secretary Koichi Kise(Kyushu Univ.) / Shuji Senda(Omron) / Yoshitaka Masutani(Tokushima Univ.) / Kensaku Mori(Kinki Univ.) / Seishi Takamura(NHK) / Takayuki Hamamoto(KDDI R&D Labs.) / Osamu Houshuyama(Ritsumeikan Univ.) / Makoto Nakashizuka(NEC)
Assistant Wataru Ohyama(Mie Univ.) / Mitsuru Anbai(DENSO IT Lab.) / Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidetaka Hontani(Nagoya Inst. of Tech.) / Shohei Matsuo(NTT) / Takamichi Miyata(Chiba Inst. of Tech.) / Takamichi Miyata(Chiba Inst. of Tech.)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Medical Imaging / Technical Committee on Image Engineering / Technical Committee on Signal Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Initial study of an automated recognition method of the supraspinatus muscle based on a muscle direction model in torso CT images
Sub Title (in English)
Keyword(1) Supraspinatus Muscle
Keyword(2) CAD
Keyword(3) Torso CT Image
Keyword(4) Skeletal Muscle
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 Masanori Kume
3rd Author's Affiliation Gifu University(Gifu Univ.)
4th Author's Name Xiangrong Zhou
4th Author's Affiliation Gifu University(Grad. Sch. Gifu Univ.)
5th Author's Name Huayue Chen
5th Author's Affiliation Gifu University(Grad. Sch. Gifu Univ.)
6th Author's Name Asumi Kamiya
6th Author's Affiliation National Hospital Organization, Higashi Nagoya National Hospital(Higashi Nagoya Hosp.)
7th Author's Name Chisako Muramatsu
7th Author's Affiliation Gifu University(Grad. Sch. Gifu Univ.)
8th Author's Name Takeshi Hara
8th Author's Affiliation Gifu University(Grad. Sch. Gifu Univ.)
9th Author's Name Hiroshi Fujita
9th Author's Affiliation Gifu University(Grad. Sch. Gifu Univ.)
Date 2015-05-15
Paper # SIP2015-22,IE2015-22,PRMU2015-22,MI2015-22
Volume (vol) vol.115
Number (no) SIP-22,IE-23,PRMU-24,MI-25
Page pp.pp.117-120(SIP), pp.117-120(IE), pp.117-120(PRMU), pp.117-120(MI),
#Pages 4
Date of Issue 2015-05-07 (SIP, IE, PRMU, MI)