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| Presentation | 2014-09-02 10:15 Proposal of an algorithm for simultaneous optimization of segmentation and a shape prior and its application to pancreas segmentation Atsushi Saito (TUAT), Shigeru Nawano (IUHW), Akinobu Shimizu (TUAT)  MI2014-35 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | A statistical shape model (SSM) plays an important role to provide a shape prior for organ segmentation, such as graph cuts based segmentation. Shape priors acquired by the conventional methods, however, is not always optimal in terms of an objective function for segmentation. We previously developed a method of selecting the best shape from a set of all shapes generated from an SSM. It was, however, difficult to increase the number of dimensions of the SSM. Therefore, we proposed an approximation method to increase the number of dimensions of the SSM at the sacrifice of the optimality of the objective function. In this paper, we demonstrated the effectiveness of the proposed method in terms of the accuracy of segmentation of pancreas from 3D abdominal CT images. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Statistical shape model / Segmentation / Graph cuts / Shape prior / Simultaneous optimization / 3D abdominal CT images / Pancreas / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 200, MI2014-35, pp. 1-5, Sept. 2014. | |
| Paper # | MI2014-35 | |
| Date of Issue | 2014-08-26 (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 | MI2014-35 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2014-09-02 - 2014-09-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | The Institute of Statistical Mathematics |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Statistical mathematical approaches in medical image analysis |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2014-09-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Proposal of an algorithm for simultaneous optimization of segmentation and a shape prior and its application to pancreas segmentation |
| Sub Title (in English) | |
| Keyword(1) | Statistical shape model |
| Keyword(2) | Segmentation |
| Keyword(3) | Graph cuts |
| Keyword(4) | Shape prior |
| Keyword(5) | Simultaneous optimization |
| Keyword(6) | 3D abdominal CT images |
| Keyword(7) | Pancreas |
| Keyword(8) | |
| 1st Author's Name | Atsushi Saito |
| 1st Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
| 2nd Author's Name | Shigeru Nawano |
| 2nd Author's Affiliation | International University of Health and Welfare (IUHW) |
| 3rd Author's Name | Akinobu Shimizu |
| 3rd Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
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| Speaker | Author-1 |
| Date Time | 2014-09-02 10:15:00 |
| Presentation Time | 30 minutes |
| Registration for | MI |
| Paper # | MI2014-35 |
| Volume (vol) | vol.114 |
| Number (no) | no.200 |
| Page | pp.1-5 |
| #Pages | 5 |
| Date of Issue | 2014-08-26 (MI) |
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