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| Presentation | 2009-05-28 16:45 Preliminary study of automated segmentation of kidney in non-contrast CT images base on position, orientation and shape features analysis. Shunichi Yoshimoto, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroshi Fujita (Gifu Univ), Ryujiro Yokoyama, Masayuki Kanematsu (Gifu Univ Hospital), Hiroaki Hoshi (Gifu Univ)  IE2009-29 PRMU2009-20 MI2009-20 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The modern CT scanners have been widely used in Japan. The cases of the CT scans covering the human torso (chest and abdomen) increased recently. Such a CT volume can provide the detailed information of human organs for clinical diagnosis. This research focuses on the development of a computer-aided diagnosis system for kidney diagnosis. Kidney regions have a similar CT number distribution with the surrounding tissue regions and have a big variance in the shapes. It is difficult to segment the kidney regions in non-contrast CT images. This research investigates the features of the kidney location, orientation, and shape using 101 CT cases, and discuss the possibility to segment the kidney region based on such features. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | X-ray CT image / kidney / automated detection / ellipse model / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 109, no. 65, MI2009-20, pp. 107-110, May 2009. | |
| Paper # | MI2009-20 | |
| Date of Issue | 2009-05-21 (IE, PRMU, 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 | IE2009-29 PRMU2009-20 MI2009-20 |
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| Conference Information | |
| Committee | PRMU IE MI |
| Conference Date | 2009-05-28 - 2009-05-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Gifu Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2009-05-PRMU-IE-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Preliminary study of automated segmentation of kidney in non-contrast CT images base on position, orientation and shape features analysis. |
| Sub Title (in English) | |
| Keyword(1) | X-ray CT image |
| Keyword(2) | kidney |
| Keyword(3) | automated detection |
| Keyword(4) | ellipse model |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shunichi Yoshimoto |
| 1st Author's Affiliation | Gifu University (Gifu Univ) |
| 2nd Author's Name | Xiangrong Zhou |
| 2nd Author's Affiliation | Gifu University (Gifu Univ) |
| 3rd Author's Name | Huayue Chen |
| 3rd Author's Affiliation | Gifu University (Gifu Univ) |
| 4th Author's Name | Takeshi Hara |
| 4th Author's Affiliation | Gifu University (Gifu Univ) |
| 5th Author's Name | Hiroshi Fujita |
| 5th Author's Affiliation | Gifu University (Gifu Univ) |
| 6th Author's Name | Ryujiro Yokoyama |
| 6th Author's Affiliation | Gifu University hospital (Gifu Univ Hospital) |
| 7th Author's Name | Masayuki Kanematsu |
| 7th Author's Affiliation | Gifu University hospital (Gifu Univ Hospital) |
| 8th Author's Name | Hiroaki Hoshi |
| 8th Author's Affiliation | Gifu University (Gifu Univ) |
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| Speaker | Author-1 |
| Date Time | 2009-05-28 16:45:00 |
| Presentation Time | 30 minutes |
| Registration for | MI |
| Paper # | IE2009-29, PRMU2009-20, MI2009-20 |
| Volume (vol) | vol.109 |
| Number (no) | no.63(IE), no.64(PRMU), no.65(MI) |
| Page | pp.107-110 |
| #Pages | 4 |
| Date of Issue | 2009-05-21 (IE, PRMU, MI) |
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