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| Presentation | 2016-01-19 10:48 Spatiotemporal Statistical Shape Model Construction Using Weighted PCA Ryosuke Nakano, Saadia Binte Alam, Syoji Kobashi, Masakazu Morimoto, Satoru Aikawa (Univ of Hyogo), Akinobu Shimizu (Tokyo Univ of Agriculture and Technology)  MI2015-77 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Statistical shape model (SSM), which represents a static organ shape, has been applied to some medical image understanding problems. To understand living human body deeply, it is desired to enhance the SSM to a temporal SSM. This paper proposes a method to construct a growing SSM, which represents temporal change of organ shape. The method is based on weighted PCA using a temporal weight function. To evaluate the proposed method, we report the experimental results for artificial data and neonatal brain shape data. The artificial data are represented by a point distribution model, and the neonatal brain shape data are represented by a level set model. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Spatiotemporal statistical model / Weighted PCA / Neonatal brain shape / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 401, MI2015-77, pp. 25-29, Jan. 2016. | |
| Paper # | MI2015-77 | |
| Date of Issue | 2016-01-12 (MI) | |
| ISSN | Print edition: ISSN 0913-5685 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 | MI2015-77 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2016-01-19 - 2016-01-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Bunka Tenbusu Kan |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General topics in medical imaging |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2016-01-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Spatiotemporal Statistical Shape Model Construction Using Weighted PCA |
| Sub Title (in English) | |
| Keyword(1) | Spatiotemporal statistical model |
| Keyword(2) | Weighted PCA |
| Keyword(3) | Neonatal brain shape |
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| 1st Author's Name | Ryosuke Nakano |
| 1st Author's Affiliation | University of Hyogo (Univ of Hyogo) |
| 2nd Author's Name | Saadia Binte Alam |
| 2nd Author's Affiliation | University of Hyogo (Univ of Hyogo) |
| 3rd Author's Name | Syoji Kobashi |
| 3rd Author's Affiliation | University of Hyogo (Univ of Hyogo) |
| 4th Author's Name | Masakazu Morimoto |
| 4th Author's Affiliation | University of Hyogo (Univ of Hyogo) |
| 5th Author's Name | Satoru Aikawa |
| 5th Author's Affiliation | University of Hyogo (Univ of Hyogo) |
| 6th Author's Name | Akinobu Shimizu |
| 6th Author's Affiliation | Tokyo University of Agriculture and Technology (Tokyo Univ of Agriculture and Technology) |
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| Speaker | Author-1 |
| Date Time | 2016-01-19 10:48:00 |
| Presentation Time | 12 minutes |
| Registration for | MI |
| Paper # | MI2015-77 |
| Volume (vol) | vol.115 |
| Number (no) | no.401 |
| Page | pp.25-29 |
| #Pages | 5 |
| Date of Issue | 2016-01-12 (MI) |
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