Paper Abstract and Keywords |
Presentation |
2013-01-24 16:35
A Study on Multiple Organ Segmentation from 3D CT Images Based on Normalization Method and Patient-Specific Probabilistic Map Chengwen Chu, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (AIT), Kazunari Misawa (ACC), Michitaka Fujiwara, Yuichiro Hayashi, Kensaku Mori (Nagoya Univ.) MI2012-89 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Organ segmentation from 3D abdominal CT database is a difficult process due to the large differences among patients in organ size and location. It is necessary to normalize physical size for each CT data in the database if CT database is utilized for organ segmentation. In this paper, we propose a new normalization method on physical size. Also, we incorporate it into a patient-specific atlas based method for multi-organ segmentation. Firstly, we roughly extract lung and kidney areas to normalize the physical sizes of the CT images in database. We dynamically generate a patient-specific probabilistic atlas for each new target image by using the normalized CT database. We roughly segment the organ region based on the probabilistic atlas and refine it by using a graph-cuts
method. Experimental results showed that our approach can segment the liver, the spleen, the pancreas, and the
kidney correctly with Jaccard indices of 95.1%, 91.4%, 69.1%, and 90.1%, respectively. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
CT image / segmentation / normalization of physical size / patient-specific probabilistic atlas / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 411, MI2012-89, pp. 139-144, Jan. 2013. |
Paper # |
MI2012-89 |
Date of Issue |
2013-01-17 (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) |
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MI2012-89 |
Conference Information |
Committee |
MI |
Conference Date |
2013-01-24 - 2013-01-25 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Bunka Tenbusu Kan |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Computational anatomy and its application to computer assisted diagnosis and therapy, etc |
Paper Information |
Registration To |
MI |
Conference Code |
2013-01-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Multiple Organ Segmentation from 3D CT Images Based on Normalization Method and Patient-Specific Probabilistic Map |
Sub Title (in English) |
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Keyword(1) |
CT image |
Keyword(2) |
segmentation |
Keyword(3) |
normalization of physical size |
Keyword(4) |
patient-specific probabilistic atlas |
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1st Author's Name |
Chengwen Chu |
1st Author's Affiliation |
Nagoya University (Nagoya Univ.) |
2nd Author's Name |
Masahiro Oda |
2nd Author's Affiliation |
Nagoya University (Nagoya Univ.) |
3rd Author's Name |
Takayuki Kitasaka |
3rd Author's Affiliation |
Aichi Institute of Technology (AIT) |
4th Author's Name |
Kazunari Misawa |
4th Author's Affiliation |
Aichi Cancer Center Aichi Cancer Center (ACC) |
5th Author's Name |
Michitaka Fujiwara |
5th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
6th Author's Name |
Yuichiro Hayashi |
6th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
7th Author's Name |
Kensaku Mori |
7th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
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Speaker |
Author-1 |
Date Time |
2013-01-24 16:35:00 |
Presentation Time |
15 minutes |
Registration for |
MI |
Paper # |
MI2012-89 |
Volume (vol) |
vol.112 |
Number (no) |
no.411 |
Page |
pp.139-144 |
#Pages |
6 |
Date of Issue |
2013-01-17 (MI) |
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