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| Presentation | 2020-09-03 11:00 [Short Paper] Quantitative analysis of epicardial adipose tissue by two-stage segmentation network and its system development Takayuiki Nagata, Yutaro Iwamoto, Zhao Ziyu (Ritsumeikan Univ), Yuji Tezuka, Hiroki Okada, Kiyosumi Maeda, Atsuyuki Wada, Atsunori Kashiwagi (Kusatsu General Hospital), Yen-Wei Chen (Ritsumeikan Univ)  MI2020-23 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Diabetes is thought to lead to vascular disease and arteriosclerosis, and there is a need for early detection and treatment. Recent studies have shown that epicardial adipose tissue (EAT), which is inside the epicardium surrounding the heart, is strongly associated with diabetes. Due to the difficulty of accurate detection by the network of epicardium used for isolation, in this paper, we propose a two-stage segmentation network that allows accurate prediction of regions within the epicardium and EAT detection using a hostile generation network, even if the detection of epicardium is not sufficient. We also developed a system that can predict, correct, and re-predict EAT simply by inputting a CT image of the heart region. In the proposed method, the median value of the Dice coefficient was 88.5% in 14 cases and the average was 86.6%, which exceeded the median value of 82.3% in 250 cases in the previous study. In addition, when the developed system was used, it was possible to detect in about 1 minute per case and display it. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Diabetes / Epicardial adipose tissue / Segmentation / CT image / Deep learning / Adversarial generation network / Developed system / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 156, MI2020-23, pp. 27-30, Sept. 2020. | |
| Paper # | MI2020-23 | |
| Date of Issue | 2020-08-27 (MI) | |
| ISSN | 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 | MI2020-23 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2020-09-03 - 2020-09-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Image Analysis |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2020-09-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Quantitative analysis of epicardial adipose tissue by two-stage segmentation network and its system development |
| Sub Title (in English) | |
| Keyword(1) | Diabetes |
| Keyword(2) | Epicardial adipose tissue |
| Keyword(3) | Segmentation |
| Keyword(4) | CT image |
| Keyword(5) | Deep learning |
| Keyword(6) | Adversarial generation network |
| Keyword(7) | Developed system |
| Keyword(8) | |
| 1st Author's Name | Takayuiki Nagata |
| 1st Author's Affiliation | Graduate School of Information Science and Engineering, Ritsumeikan University (Ritsumeikan Univ) |
| 2nd Author's Name | Yutaro Iwamoto |
| 2nd Author's Affiliation | Graduate School of Information Science and Engineering, Ritsumeikan University (Ritsumeikan Univ) |
| 3rd Author's Name | Zhao Ziyu |
| 3rd Author's Affiliation | Graduate School of Information Science and Engineering, Ritsumeikan University (Ritsumeikan Univ) |
| 4th Author's Name | Yuji Tezuka |
| 4th Author's Affiliation | Kusatsu General Hospital (Kusatsu General Hospital) |
| 5th Author's Name | Hiroki Okada |
| 5th Author's Affiliation | Kusatsu General Hospital (Kusatsu General Hospital) |
| 6th Author's Name | Kiyosumi Maeda |
| 6th Author's Affiliation | Kusatsu General Hospital (Kusatsu General Hospital) |
| 7th Author's Name | Atsuyuki Wada |
| 7th Author's Affiliation | Kusatsu General Hospital (Kusatsu General Hospital) |
| 8th Author's Name | Atsunori Kashiwagi |
| 8th Author's Affiliation | Kusatsu General Hospital (Kusatsu General Hospital) |
| 9th Author's Name | Yen-Wei Chen |
| 9th Author's Affiliation | Graduate School of Information Science and Engineering, Ritsumeikan University (Ritsumeikan Univ) |
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| Speaker | Author-1 |
| Date Time | 2020-09-03 11:00:00 |
| Presentation Time | 15 minutes |
| Registration for | MI |
| Paper # | MI2020-23 |
| Volume (vol) | vol.120 |
| Number (no) | no.156 |
| Page | pp.27-30 |
| #Pages | 4 |
| Date of Issue | 2020-08-27 (MI) |
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