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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)
Download PDF 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)  
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
Date of Issue 2021-08-20 (MI) 


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