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Paper Abstract and Keywords
Presentation 2020-01-30 15:10
Exploration of image features associated with ruptures of intracranial aneurysms using magnetic resonance angiography
Masayuki Yamanouchi (KMH), Hidetaka Arimura (Kyushu Univ.) MI2019-120
Abstract (in Japanese) (See Japanese page) 
(in English) Ruptures of intracranial aneurysms are serious conditions resulting in subarachnoid hemorrhage. We hypothesized that the probability of aneurysm ruptures would be associated with geometrical size as well as heterogeneity. The purpose of this study was to explore image features on magnetic resonance angiography (MRA) images associated with the ruptures of intracranial aneurysms. The MRA images including 33 follow-up (FU) cases and 10 ruptured aneurysm (RA) cases were chosen for this study. 488 texture features of the aneurysms were derived within aneurysm regions. Each image feature was tested based on a p-value representing statistically significant difference in means between FU and RA cases by using Student’s t test or Welch’s t test according to the statistical property of each image feature. 232 significant features in 488 features such as LLH_Contrast (p=1.02x10-8), LLH_SRHGE (p=1.70x10-8), and LLH_HGRE (p=5.11x10-8) were discovered as significant features. The 232 image features might be employed for prediction of aneurysm ruptures by monitoring the features on MRA images.
Keyword (in Japanese) (See Japanese page) 
(in English) Intracranial Aneurysms / Ruptures / Image Features / Texture Analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 399, MI2019-120, pp. 235-236, Jan. 2020.
Paper # MI2019-120 
Date of Issue 2020-01-22 (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 MI2019-120

Conference Information
Committee MI  
Conference Date 2020-01-29 - 2020-01-30 
Place (in Japanese) (See Japanese page) 
Place (in English) OKINAWAKEN SEINENKAIKAN 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Image Engineering, Analysis, Recognition, etc. 
Paper Information
Registration To MI 
Conference Code 2020-01-MI 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Exploration of image features associated with ruptures of intracranial aneurysms using magnetic resonance angiography 
Sub Title (in English)  
Keyword(1) Intracranial Aneurysms  
Keyword(2) Ruptures  
Keyword(3) Image Features  
Keyword(4) Texture Analysis  
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1st Author's Name Masayuki Yamanouchi  
1st Author's Affiliation Kokura Memorial Hospital (KMH)
2nd Author's Name Hidetaka Arimura  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2020-01-30 15:10:00 
Presentation Time 10 minutes 
Registration for MI 
Paper # MI2019-120 
Volume (vol) vol.119 
Number (no) no.399 
Page pp.235-236 
#Pages 2 
Date of Issue 2020-01-22 (MI) 

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