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| Presentation | 2022-11-18 14:25 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 (NAIST), Hideki Shigematu (Nara Med. Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Toshiaki Akashi (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII), Kento Aida (NII), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST)  MICT2022-39 MI2022-68 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | statistical shape model / aging change analysis / / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 265, MI2022-68, pp. 29-32, Nov. 2022. | |
| Paper # | MI2022-68 | |
| Date of Issue | 2022-11-11 (MICT, MI) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | MICT2022-39 MI2022-68 |
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| Conference Information | |
| Committee | MICT MI |
| Conference Date | 2022-11-18 - 2022-11-18 |
| 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. |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2022-11-MICT-MI |
| Language | Japanese |
| 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 |
| Keyword(3) | |
| Keyword(4) | |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 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) |
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| 14th Author's Affiliation | () |
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| 15th Author's Affiliation | () |
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| Speaker | Author-1 |
| Date Time | 2022-11-18 14:25:00 |
| Presentation Time | 25 minutes |
| Registration for | MI |
| Paper # | MICT2022-39, MI2022-68 |
| Volume (vol) | vol.122 |
| Number (no) | no.264(MICT), no.265(MI) |
| Page | pp.29-32 |
| #Pages | 4 |
| Date of Issue | 2022-11-11 (MICT, MI) |
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