ITE Technical Group Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2020-05-28 14:00
A Study of 3D Ultrasound Volume Reconstruction based on Ultrasound Probe Localization Using Deep Learning
Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya, Satoshi Kondo (KONICA MINOLTA)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents an ultrasound (US) volume reconstruction method only from US image sequences using deep learning.
The proposed method employs a convolutional neural network to estimate the position of a 2D US probe only from US images.
We introduce a network for estimating motion and two loss functions: the $L_1$ loss function and the consistency loss function.
Through a set of experiments using US image sequence datasets with ground-truth motion measured by a motion capture system, we demonstrate that the proposed method exhibits better performance on probe localization and volume reconstruction compared with the conventional method.
Keyword (in Japanese) (See Japanese page) 
(in English) ultrasound / volume reconstruction / CNN / probe localization / / / /  
Reference Info. ITE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
Download PDF

Conference Information
Committee IEICE-MI IEICE-IE IEICE-SIP IEICE-BioX IST ME  
Conference Date 2020-05-28 - 2020-05-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image and signal processing/analysis/AI technology, and their application 
Paper Information
Registration To IEICE-MI 
Conference Code 2020-05-MI-IE-SIP-BioX-IST-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of 3D Ultrasound Volume Reconstruction based on Ultrasound Probe Localization Using Deep Learning 
Sub Title (in English)  
Keyword(1) ultrasound  
Keyword(2) volume reconstruction  
Keyword(3) CNN  
Keyword(4) probe localization  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
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)
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker
Date Time 2020-05-28 14:00:00 
Presentation Time 20 
Registration for IEICE-MI 
Paper #  
Volume (vol) ITE-44 
Number (no)  
Page  
#Pages ITE- 
Date of Issue  


[Return to Top Page]

[Return to ITE Web Page]


The Institute of Image Information and Television Engineers (ITE), Japan