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Paper Abstract and Keywords
Presentation 2025-02-19 13:35
Image Quality Enhancement Method for 3D Vascular Images Using Diffusion Models
Masahiro Maruichi, Yasumura Yoshiaki (SIT) ITS2024-87 IE2024-79
Abstract (in Japanese) (See Japanese page) 
(in English) This report presents a method for improving the image quality of 3D vascular images in photoacoustic 3D imaging technology using diffusion models. The proposed approach is based on ResShift, which learns the difference between low-quality and high-quality images to achieve efficient super-resolution. Furthermore, to preserve detailed vascular structures, the method separates regions with high and low vascular density for training and optimizes the noise level and removal iterations. Experiments demonstrated improved accuracy in recognizing vascular information and an enhancement in PSNR values. These results represent a significant step toward the practical application of photoacoustic 3D imaging technology and suggest potential contributions to its further development.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Diffusion Model / Photoacoustic 3D Imaging / Image Quality Enhancement / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 373, IE2024-79, pp. 206-211, Feb. 2025.
Paper # IE2024-79 
Date of Issue 2025-02-11 (ITS, IE) 
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 ITS2024-87 IE2024-79

Conference Information
Committee ITS IE ITE-MMS ITE-ME ITE-AIT ITE-SIP  
Conference Date 2025-02-18 - 2025-02-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2025-02-ITS-IE-MMS-ME-AIT-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image Quality Enhancement Method for 3D Vascular Images Using Diffusion Models 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Diffusion Model  
Keyword(3) Photoacoustic 3D Imaging  
Keyword(4) Image Quality Enhancement  
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1st Author's Name Masahiro Maruichi  
1st Author's Affiliation Shibaura Institute of Technology (SIT)
2nd Author's Name Yasumura Yoshiaki  
2nd Author's Affiliation Shibaura Institute of Technology (SIT)
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Speaker Author-1 
Date Time 2025-02-19 13:35:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2024-87, IE2024-79 
Volume (vol) vol.124 
Number (no) no.372(ITS), no.373(IE) 
Page pp.206-211 
#Pages 6 
Date of Issue 2025-02-11 (ITS, IE) 

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