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| Presentation | 2017-03-21 10:15 Automated Anatomical Labeling of Abdominal Arteries Using Conditional Random Fields With Contrast Sensitive Potentials XiaoNan Zhang, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (AIT), Kazunari Misawa (Aichi Cancer Center Hospital), Kenasaku Mori (Nagoya Univ.)  BioX2016-56 PRMU2016-219 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | For safe and adequate laparoscopic abdominal surgery, it is important to have a clear grasp of the structures of the blood vessels. Consequently, there is a need to develop high precision tools for three-dimensional viewing of blood vessel structures with anatomical labels. Previous study utilized the conditional random field (CRF) with a constant pairwise term penalty coefficient to estimate blood vessel labels. It results in ignorance of significant details between neighboring branches and homogenization. In our proposed method, We utilize the Contrast Sensitive Potentials to enforce the local consistency between neighboring branches. We applied the proposed method to 50 cases of arterial phase abdominal X-ray CT volumes. Experimental results showed that the F-measures of the proposed method were 92.2% for abdominal arteries. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | CT volume / recognition of anatomical names / Conditional Random Fields / Contrast Sensitive Potentials / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 528, PRMU2016-219, pp. 137-142, March 2017. | |
| Paper # | PRMU2016-219 | |
| Date of Issue | 2017-03-13 (BioX, PRMU) | |
| 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 | BioX2016-56 PRMU2016-219 |
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| Conference Information | |
| Committee | PRMU BioX |
| Conference Date | 2017-03-20 - 2017-03-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2017-03-PRMU-BioX |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Automated Anatomical Labeling of Abdominal Arteries Using Conditional Random Fields With Contrast Sensitive Potentials |
| Sub Title (in English) | |
| Keyword(1) | CT volume |
| Keyword(2) | recognition of anatomical names |
| Keyword(3) | Conditional Random Fields |
| Keyword(4) | Contrast Sensitive Potentials |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | XiaoNan Zhang |
| 1st Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 2nd Author's Name | Yuichiro Hayashi |
| 2nd Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 3rd Author's Name | Masahiro Oda |
| 3rd Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 4th Author's Name | Takayuki Kitasaka |
| 4th Author's Affiliation | Aichi Institute of Technology (AIT) |
| 5th Author's Name | Kazunari Misawa |
| 5th Author's Affiliation | Aichi Cancer Center Hospital (Aichi Cancer Center Hospital) |
| 6th Author's Name | Kenasaku Mori |
| 6th Author's Affiliation | Nagoya University (Nagoya Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-03-21 10:15:00 |
| Presentation Time | 25 minutes |
| Registration for | PRMU |
| Paper # | BioX2016-56, PRMU2016-219 |
| Volume (vol) | vol.116 |
| Number (no) | no.527(BioX), no.528(PRMU) |
| Page | pp.137-142 |
| #Pages | 6 |
| Date of Issue | 2017-03-13 (BioX, PRMU) |
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