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Paper Abstract and Keywords
Presentation 2025-12-05 10:30
A Study of Image Quality Improvement of Low-Dose Dental CT Images
Kana Goto, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Yuya Takata, Keisuke Himura (Asahi Roentgen/Tohoku Univ.) MICT2025-38 MI2025-46
Abstract (in Japanese) (See Japanese page) 
(in English) There is a trade-off between the radiation dose and the resulting image quality in CT imaging, and techniques that can enhance low-dose CT images to a quality equivalent to or even superior to that of standard-dose CT are required. Significant advancements have been made in medical CT for image quality improvement using deep learning-based projection-domain approaches before reconstruction, while its application remains limited in the field of dental CT. In this paper, we propose a method for enhancing projection images of dental CT using Swin-Unet. We construct a dental CT projection image dataset and demonstrate the effectiveness of the proposed method through a set of experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) CBCT / deep learning / discrete wavelet transform / denoising / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 270, MI2025-46, pp. 26-29, Dec. 2025.
Paper # MI2025-46 
Date of Issue 2025-11-27 (MICT, 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 MICT2025-38 MI2025-46

Conference Information
Committee MICT MI  
Conference Date 2025-12-04 - 2025-12-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Okayama Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical imaging technology, healthcare and medical information communication technology, etc. 
Paper Information
Registration To MI 
Conference Code 2025-12-MICT-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Image Quality Improvement of Low-Dose Dental CT Images 
Sub Title (in English)  
Keyword(1) CBCT  
Keyword(2) deep learning  
Keyword(3) discrete wavelet transform  
Keyword(4) denoising  
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Keyword(6)  
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1st Author's Name Kana Goto  
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 Yuya Takata  
4th Author's Affiliation Asahi Roentgen Ind. Co., Ltd. /Tohoku University (Asahi Roentgen/Tohoku Univ.)
5th Author's Name Keisuke Himura  
5th Author's Affiliation Asahi Roentgen Ind. Co., Ltd. /Tohoku University (Asahi Roentgen/Tohoku Univ.)
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Speaker Author-1 
Date Time 2025-12-05 10:30:00 
Presentation Time 20 minutes 
Registration for MI 
Paper # MICT2025-38, MI2025-46 
Volume (vol) vol.125 
Number (no) no.269(MICT), no.270(MI) 
Page pp.26-29 
#Pages 4 
Date of Issue 2025-11-27 (MICT, MI) 

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