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Paper Abstract and Keywords
Presentation 2026-03-05 13:41
Chest 4D-CT Image Generation Using Statistical Displacement Field-Guided Diffusion Model
Miki Kanamuro (Kyoto Univ.), Hideaki Hirashima (Kyoto Univ. Hospital), Mitsuhiro Nakamura, Megumi Nakao (Kyoto Univ.) MI2025-72
Abstract (in Japanese) (See Japanese page) 
(in English) To obtain individual respiratory dynamics, time-series 3D-CT (i.e., 4D-CT) imaging is employed. However, 4D-CT acquisition suffers from motion artifacts caused by organ motion within the images and increases radiation exposure. This study aimed to establish a 4D-CT image prediction framework using a diffusion model that incorporates both the initial-phase CT image and a controllable statistical displacement vector field (sDVF) parameterized by the displacement magnitude. We report that the framework enables high-quality image generation compared to conventional models without the acquisition of target-phase images.
Keyword (in Japanese) (See Japanese page) 
(in English) 4D-CT image prediction / displacement vector field / diffusion model / respiratory deformation / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 395, MI2025-72, pp. 51-54, March 2026.
Paper # MI2025-72 
Date of Issue 2026-02-26 (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 MI2025-72

Conference Information
Committee MI  
Conference Date 2026-03-05 - 2026-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) OKINAWAKEN SEINENKAIKAN 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging, etc. 
Paper Information
Registration To MI 
Conference Code 2026-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Chest 4D-CT Image Generation Using Statistical Displacement Field-Guided Diffusion Model 
Sub Title (in English)  
Keyword(1) 4D-CT image prediction  
Keyword(2) displacement vector field  
Keyword(3) diffusion model  
Keyword(4) respiratory deformation  
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1st Author's Name Miki Kanamuro  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Hideaki Hirashima  
2nd Author's Affiliation Department of Radiation Oncology and Image-Applied Therapy, Kyoto University Hospital (Kyoto Univ. Hospital)
3rd Author's Name Mitsuhiro Nakamura  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Megumi Nakao  
4th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2026-03-05 13:41:00 
Presentation Time 13 minutes 
Registration for MI 
Paper # MI2025-72 
Volume (vol) vol.125 
Number (no) no.395 
Page pp.51-54 
#Pages 4 
Date of Issue 2026-02-26 (MI) 

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