Presentation 2022-11-18
Development of a Statistical Model for Predicting Aging Change in Spine and Pelvis Based on Landmarks Detected in a Large Scale Torso CT Image Database
Yuga Shimomoto, Yoshito Otake, Tomoki Hakotani, Mazen Soufi, Hideki Shigematu, Keisuke Uemura, Masaki Takao, Toshiaki Akashi, Kensaku Mori, Kento Aida, Nobuhiko Sugano, Yoshinobu Sato,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) One way to describe variations in skeletal shape is a statistical shape model (SSM), which statistically analyzes organ shape data from multiple individuals. We aim to construct a SSM of the whole-body skeleton using a large CT database of more than 40,000 cases of J-MID collected by the Japan Radiological Society. As a first step, we extracted skeletal landmarks from a large CT image database of the torso (from the thoracic spine to the lower pelvis) and constructed SSM. Then, we investigated the age-related changes in skeletal shape and arrangement, and predicted the shape of the spine.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) statistical shape model / aging change analysis
Paper # MICT2022-39,MI2022-68
Date of Issue 2022-11-11 (MICT, MI)

Conference Information
Committee MICT / MI
Conference Date 2022/11/18(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Nagoya Institute of Technology
Topics (in Japanese) (See Japanese page)
Topics (in English) Medical imaging technology, healthcare and medical information communication technology, etc.
Chair Hirokazu Tanaka(Hiroshima City Univ.) / Hidekata Hontani(Nagoya Inst. of Tech.)
Vice Chair Chika Sugimoto(Yokohama National Univ.) / Daisuke Anzai(Nagoya Inst. of Tech.) / Hideaki Haneishi(Chiba Univ.) / Takayuki Kitasaka(Aichi Inst. of Tech.)
Secretary Chika Sugimoto(Okayama Pref. Univ.) / Daisuke Anzai(KISTEC) / Hideaki Haneishi(Yamaguchi Univ.) / Takayuki Kitasaka(Univ. of Hyogo)
Assistant Takahiro Ito(Hiroshima City Univ) / Natsuki Nakayama(Nagoya Univ.) / Takuya Nishikawa(National Cerebral and Cardiovascular Center Hospital) / Takeshi Hara(Gifu Univ.) / Yoshito Otake(NAIST)

Paper Information
Registration To Technical Committee on Healthcare and Medical Information Communication Technology / Technical Committee on Medical Imaging
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of a Statistical Model for Predicting Aging Change in Spine and Pelvis Based on Landmarks Detected in a Large Scale Torso CT Image Database
Sub Title (in English)
Keyword(1) statistical shape model
Keyword(2) aging change analysis
1st Author's Name Yuga Shimomoto
1st Author's Affiliation Nara Institute of Science and Technology(NAIST)
2nd Author's Name Yoshito Otake
2nd Author's Affiliation Nara Institute of Science and Technology(NAIST)
3rd Author's Name Tomoki Hakotani
3rd Author's Affiliation Nara Institute of Science and Technology(NAIST)
4th Author's Name Mazen Soufi
4th Author's Affiliation Nara Institute of Science and Technology(NAIST)
5th Author's Name Hideki Shigematu
5th Author's Affiliation Nara Medical University(Nara Med. Univ.)
6th Author's Name Keisuke Uemura
6th Author's Affiliation Osaka University(Osaka Univ.)
7th Author's Name Masaki Takao
7th Author's Affiliation Ehime University(Ehime Univ.)
8th Author's Name Toshiaki Akashi
8th Author's Affiliation Juntendo University(Juntendo Univ.)
9th Author's Name Kensaku Mori
9th Author's Affiliation Nagoya University/National Institute of Informatics(Nagoya Univ./NII)
10th Author's Name Kento Aida
10th Author's Affiliation National Institute of Informatics(NII)
11th Author's Name Nobuhiko Sugano
11th Author's Affiliation Osaka University(Osaka Univ.)
12th Author's Name Yoshinobu Sato
12th Author's Affiliation Nara Institute of Science and Technology(NAIST)
Date 2022-11-18
Paper # MICT2022-39,MI2022-68
Volume (vol) vol.122
Number (no) MICT-264,MI-265
Page pp.pp.29-32(MICT), pp.29-32(MI),
#Pages 4
Date of Issue 2022-11-11 (MICT, MI)