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Paper Abstract and Keywords
Presentation 2025-08-28 15:20
Muscle region segmentation for adhesion analysis in shoulder ultrasound monitoring system -- Supervised segmentation using acoustic morphology and superpixel-based feature fusion --
Jinyi Zhao (Science Tokyo), Mizuki Fujiwara (JR Sendai Hospital, Tohoku Univ.), Masahiro Yamaguchi, Marie Tabaru (Science Tokyo) US2025-30
Abstract (in Japanese) (See Japanese page) 
(in English) Shoulder muscle adhesions, especially between the deltoid and subscapularis, contribute significantly to mobility impairments. While prior studies applied speckle tracking to manually defined ROIs, such methods are time-consuming and operator-dependent. We propose a fully automated system that segments shoulder ultrasound images and extracts the deltoid-subscapularis boundary using acoustic morphology and superpixel-based feature fusion. Key tissue regions are identified through multi-stage clustering and refined via contour-based boundary extraction. Preliminary results show strong agreement between extracted boundaries and anatomical expectations. This approach removes manual intervention, improves consistency, and lays the foundation for future integration of motion analysis techniques such as optical flow in clinical assessments.
Keyword (in Japanese) (See Japanese page) 
(in English) shoulder ultrasound image / region segmentation / clustering algorithm / superpixel segmentation / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 159, US2025-30, pp. 26-30, Aug. 2025.
Paper # US2025-30 
Date of Issue 2025-08-21 (US) 
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 US2025-30

Conference Information
Committee US  
Conference Date 2025-08-28 - 2025-08-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Institute of Science Tokyo (Ookayama Campus) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Underwater acoustics, Ultrasonics, etc. 
Paper Information
Registration To US 
Conference Code 2025-08-US 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Muscle region segmentation for adhesion analysis in shoulder ultrasound monitoring system 
Sub Title (in English) Supervised segmentation using acoustic morphology and superpixel-based feature fusion 
Keyword(1) shoulder ultrasound image  
Keyword(2) region segmentation  
Keyword(3) clustering algorithm  
Keyword(4) superpixel segmentation  
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1st Author's Name Jinyi Zhao  
1st Author's Affiliation Institute of Science Tokyo (Science Tokyo)
2nd Author's Name Mizuki Fujiwara  
2nd Author's Affiliation JR Sendai Hospital, Tohoku University (JR Sendai Hospital, Tohoku Univ.)
3rd Author's Name Masahiro Yamaguchi  
3rd Author's Affiliation Institute of Science Tokyo (Science Tokyo)
4th Author's Name Marie Tabaru  
4th Author's Affiliation Institute of Science Tokyo (Science Tokyo)
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Speaker Author-1 
Date Time 2025-08-28 15:20:00 
Presentation Time 25 minutes 
Registration for US 
Paper # US2025-30 
Volume (vol) vol.125 
Number (no) no.159 
Page pp.26-30 
#Pages 5 
Date of Issue 2025-08-21 (US) 

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