Paper Abstract and Keywords |
Presentation |
2013-11-07 15:50
Improvement of pancreas segmentation algorithm from multi-phase CT volumes Hidefumi Watanabe, Akinobu Shimizu (Tokyo Univ. of Agriculture and Tech.), Shigeru Nawano (International Univ. of Health and Welfare) MI2013-54 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper proposes a method for improving a conditional probabilistic atlas(PA) with a condition of rough segmentation so as to improve a pancreas segmentation algorithm from multi-contrast-phase abdominal CT volumes. The conventional conditional PA suffered from low performance caused by the inappropriate rough segmentation result that was served as a condition of the PA. We present a novel conditional PA with additional conditions of manual landmarks located at head and tail of a pancreas where the performance of the previous method was low. Lasso algorithm is employed to select labels from a dictionary that resemble to the pancreas in a given test CT volume. A conditional PA is constructed from the selected labels and the pancreas is extracted based on maximum a posteriori scheme with the conditional PA. This paper describes results of applying the algorithm trained from four contrast phase abdominal CT volumes of 70 training cases to 14 test cases that showed lowest performance among 70 testing cases in our previous study followed by the discussion of the effectiveness of the novel conditional PA. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
CT image / pancreas / segmentation / probabilistic atlas / manual input landmarks / sparse / Lasso / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 281, MI2013-54, pp. 45-50, Nov. 2013. |
Paper # |
MI2013-54 |
Date of Issue |
2013-10-31 (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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MI2013-54 |
Conference Information |
Committee |
MI |
Conference Date |
2013-11-07 - 2013-11-07 |
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Paper Information |
Registration To |
MI |
Conference Code |
2013-11-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Improvement of pancreas segmentation algorithm from multi-phase CT volumes |
Sub Title (in English) |
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Keyword(1) |
CT image |
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pancreas |
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segmentation |
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probabilistic atlas |
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manual input landmarks |
Keyword(6) |
sparse |
Keyword(7) |
Lasso |
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1st Author's Name |
Hidefumi Watanabe |
1st Author's Affiliation |
Tokyo University of Agriculture and Technology (Tokyo Univ. of Agriculture and Tech.) |
2nd Author's Name |
Akinobu Shimizu |
2nd Author's Affiliation |
Tokyo University of Agriculture and Technology (Tokyo Univ. of Agriculture and Tech.) |
3rd Author's Name |
Shigeru Nawano |
3rd Author's Affiliation |
International University of Health and Welfare (International Univ. of Health and Welfare) |
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Speaker |
Author-1 |
Date Time |
2013-11-07 15:50:00 |
Presentation Time |
30 minutes |
Registration for |
MI |
Paper # |
MI2013-54 |
Volume (vol) |
vol.113 |
Number (no) |
no.281 |
Page |
pp.45-50 |
#Pages |
6 |
Date of Issue |
2013-10-31 (MI) |