Paper Abstract and Keywords |
Presentation |
2021-08-27 14:10
A Study of a Pose Estimation Method of Ultrasound Probe Using RNN Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya, Satoshi Kondo (KONICA MINOLTA) MI2021-22 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose an ultrasound (US) probe pose estimation method using deep learning for 3D US image reconstruction.
The proposed method employs a novel neural network consisting of a convolutional neural network (CNN) and a recurrent neural network (RNN).
The features extracted from the US image sequence using CNN are input to RNN to estimate the relative and absolute pose of the US probe.
We create an US image sequence dataset with ground-truth probe position measured by a motion capture system to evaluate the accuracy of the proposed method.
Through a set of experiments, we demonstrate that the proposed method exhibits the efficient performance on probe pose estimation and 3D US image reconstruction compared with the conventional method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
ultrasound / volume reconstruction / RNN / CNN / pose estimation / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 164, MI2021-22, pp. 2-7, Aug. 2021. |
Paper # |
MI2021-22 |
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) |
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MI2021-22 |
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) |
A Study of a Pose Estimation Method of Ultrasound Probe Using RNN |
Sub Title (in English) |
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Keyword(1) |
ultrasound |
Keyword(2) |
volume reconstruction |
Keyword(3) |
RNN |
Keyword(4) |
CNN |
Keyword(5) |
pose estimation |
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1st Author's Name |
Kanta Miura |
1st Author's Affiliation |
Tohoku University (Tohoku Univ.) |
2nd Author's Name |
Koichi Ito |
2nd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
3rd Author's Name |
Takafumi Aoki |
3rd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
4th Author's Name |
Jun Ohmiya |
4th Author's Affiliation |
KONICA MINOLTA, INC. (KONICA MINOLTA) |
5th Author's Name |
Satoshi Kondo |
5th Author's Affiliation |
KONICA MINOLTA, INC. (KONICA MINOLTA) |
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Speaker |
Author-1 |
Date Time |
2021-08-27 14:10:00 |
Presentation Time |
25 minutes |
Registration for |
MI |
Paper # |
MI2021-22 |
Volume (vol) |
vol.121 |
Number (no) |
no.164 |
Page |
pp.2-7 |
#Pages |
6 |
Date of Issue |
2021-08-20 (MI) |
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