Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2023-03-06 09:18
[Short Paper] FUSE-2, Aided Diagnosis Method for Dementia using Cross-Modality Translation with Alignment by Deep Learning
Kodai Yamashita, Souta Okabe, Hiroyuki Kudo (Univ. of Tsukuba) MI2022-73
Abstract (in Japanese) (See Japanese page) 
(in English) The diagnosis of cognitive impairment can be performed using functional imaging techniques such as PET and SPECT, which can show the function of the brain. However, mild cognitive impairment that have only subtle changes may be misdiagnosed. Additionally, current computer-aided diagnosis systems for cognitive impairment are complex combinations of classical image processing methods at cross-modality translation and position correction and may not have high diagnostic accuracy. In this study, we propose a method that using deep learning to simultaneously perform conversion between cross-modalities and registration. We incorporated additional information and a loss term for position correction into the widely used U-Net structure in medical imaging. We conducted experiments using a dataset of MRI and PET images from the same patients to verify the effectiveness of our proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) MR images / PET images / Cognitive Impairment / Computer Aided Diagnostic / Cross-Modality Translation / Registration / Deep Learning /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 417, MI2022-73, pp. 3-4, March 2023.
Paper # MI2022-73 
Date of Issue 2023-02-27 (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 MI2022-73

Conference Information
Committee MI  
Conference Date 2023-03-06 - 2023-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) OKINAWA SEINENKAIKAN 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2023-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) FUSE-2, Aided Diagnosis Method for Dementia using Cross-Modality Translation with Alignment by Deep Learning 
Sub Title (in English)  
Keyword(1) MR images  
Keyword(2) PET images  
Keyword(3) Cognitive Impairment  
Keyword(4) Computer Aided Diagnostic  
Keyword(5) Cross-Modality Translation  
Keyword(6) Registration  
Keyword(7) Deep Learning  
Keyword(8)  
1st Author's Name Kodai Yamashita  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
2nd Author's Name Souta Okabe  
2nd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
3rd Author's Name Hiroyuki Kudo  
3rd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
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 ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2023-03-06 09:18:00 
Presentation Time 13 minutes 
Registration for MI 
Paper # MI2022-73 
Volume (vol) vol.122 
Number (no) no.417 
Page pp.3-4 
#Pages 2 
Date of Issue 2023-02-27 (MI) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan