| Paper Abstract and Keywords |
| Presentation |
2021-08-27 15:00
[Short Paper]
Region extraction and mass estimation of kidneys from Ai-CT Yasushi Hirano, Remi Yamashita (Yamaguchi Univ.), Shoji Kido (Osaka Univ.), Kunihiro Inai (Univ. of Fukui) MI2021-24 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Autopsy imaging (Ai) is an examination method for investigating the cause of death and estimating the postmortem time. Since the weight of organs may reflect disease or pathological condition, it is useful information for investigating the cause of death. Generally, it is necessary to dissect bodies for to measuring the weight of organs, but it is difficult to obtain weight data because of low rate of dissection in Japan. In order to solve this problem, in this study, we developed a method to extract kidney regions from postmortem CT images and estimate the kidney weight from the obtained CT numbers in the kidney regions using the deep learning. As a result of evaluating accuracy of the extracted kidney region by the Dice coefficient, 0.726 ± 0.066 was obtained. The correlation coefficient between the estimated and actual kidney weights was 0.70 and an absolute error of kidney weight was 53.43[g]. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Kidney region / V-Net / Segmentation / Autopsy imaging / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 121, no. 164, MI2021-24, pp. 10-11, Aug. 2021. |
| Paper # |
MI2021-24 |
| Date of Issue |
2021-08-20 (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 |
MI2021-24 |
| Conference Information |
| Committee |
MI |
| Conference Date |
2021-08-27 - 2021-08-27 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Medical imaging |
| Paper Information |
| Registration To |
MI |
| Conference Code |
2021-08-MI |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Region extraction and mass estimation of kidneys from Ai-CT |
| Sub Title (in English) |
|
| Keyword(1) |
Kidney region |
| Keyword(2) |
V-Net |
| Keyword(3) |
Segmentation |
| Keyword(4) |
Autopsy imaging |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(8) |
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| 1st Author's Name |
Yasushi Hirano |
| 1st Author's Affiliation |
Yamaguchi University (Yamaguchi Univ.) |
| 2nd Author's Name |
Remi Yamashita |
| 2nd Author's Affiliation |
Yamaguchi University (Yamaguchi Univ.) |
| 3rd Author's Name |
Shoji Kido |
| 3rd Author's Affiliation |
Osaka University (Osaka Univ.) |
| 4th Author's Name |
Kunihiro Inai |
| 4th Author's Affiliation |
University of Fukui (Univ. of Fukui) |
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| Speaker |
Author-1 |
| Date Time |
2021-08-27 15:00:00 |
| Presentation Time |
25 minutes |
| Registration for |
MI |
| Paper # |
MI2021-24 |
| Volume (vol) |
vol.121 |
| Number (no) |
no.164 |
| Page |
pp.10-11 |
| #Pages |
2 |
| Date of Issue |
2021-08-20 (MI) |