Paper Abstract and Keywords |
Presentation |
2016-01-20 09:32
Automatic extraction of intrahepatic bile duct based on features from dual-energy CT images Pengfei Chen, Hiroshi Tanaka, Masahiro Oda, Yuichiro Hayashi, Tsuyoshi Igami, Masato Nagino, Kensaku Mori (Nogoya Univ.) MI2015-112 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we present our feasibility study on the intrahepatic bile duct (IHBD) extraction using dual-energy CT (DECT) volumes. We used the biliary dilation cases for this study. Compared with single energy CT (SECT), information contained in the volumes, i.e. CT values, increases in DECT. We expect that IHBD extraction performances improve by using the DECT volumes. We present a preliminary study of our IHBD extraction by using DECT volumes. As for the extraction process, we used the SVM classifier that utilizes CT values and local intensity structure analysis results as feature values. With lower-energy (100 kVp) volume being denoted by A and higher-energy (140 kVp) volume by B, the feature values we used include the CT values of A and B, and the eigenvalues of multiscale Hessian matrix from the CT volumes of A and B. The difference and effectiveness of these features and their combinations, were tested independently through our experiments. The extraction results were good despite the simplicity of the method, therefore, we believed the utilization of DECT for biliary tract extraction is promising. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Intrahepatic biliary duct extraction / Dual-energy CT / Abdominal contrast-enhanced / Machine learning / SVM / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 401, MI2015-112, pp. 187-192, Jan. 2016. |
Paper # |
MI2015-112 |
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) |
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MI2015-112 |
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 |
English (Japanese title is available) |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Automatic extraction of intrahepatic bile duct based on features from dual-energy CT images |
Sub Title (in English) |
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Keyword(1) |
Intrahepatic biliary duct extraction |
Keyword(2) |
Dual-energy CT |
Keyword(3) |
Abdominal contrast-enhanced |
Keyword(4) |
Machine learning |
Keyword(5) |
SVM |
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1st Author's Name |
Pengfei Chen |
1st Author's Affiliation |
Nogoya University (Nogoya Univ.) |
2nd Author's Name |
Hiroshi Tanaka |
2nd Author's Affiliation |
Nogoya University (Nogoya Univ.) |
3rd Author's Name |
Masahiro Oda |
3rd Author's Affiliation |
Nogoya University (Nogoya Univ.) |
4th Author's Name |
Yuichiro Hayashi |
4th Author's Affiliation |
Nogoya University (Nogoya Univ.) |
5th Author's Name |
Tsuyoshi Igami |
5th Author's Affiliation |
Nogoya University (Nogoya Univ.) |
6th Author's Name |
Masato Nagino |
6th Author's Affiliation |
Nogoya University (Nogoya Univ.) |
7th Author's Name |
Kensaku Mori |
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Nogoya University (Nogoya Univ.) |
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Speaker |
Author-1 |
Date Time |
2016-01-20 09:32:00 |
Presentation Time |
12 minutes |
Registration for |
MI |
Paper # |
MI2015-112 |
Volume (vol) |
vol.115 |
Number (no) |
no.401 |
Page |
pp.187-192 |
#Pages |
6 |
Date of Issue |
2016-01-12 (MI) |
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