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Paper Abstract and Keywords
Presentation 2014-01-27 13:30
Evaluation of an automated identification system of unruptured intracranial aneurysm candidates based on a blob structure enhancement filter at 3.0 T magnetic resonance angiography
Ze Jin, Hidetaka Arimura (Kyushu Univ.), Yukunori Korogi (Univ. Hospital of Occupational & Environmental Health), Fumio Yamashita, Makoto Sasaki (Medical Iwate Univ.) MI2013-102
Abstract (in Japanese) (See Japanese page) 
(in English) An automated identification system of unruptured intracranial aneurysm candidates based on a three-dimensional (3D) blob structure enhancement (BSE) filter was evaluated for 3.0 T magnetic resonance angiography (MRA). Ten cases with 10 unruptured aneurysms (diameter, 2.4 to 8.4 mm; mean, 6.6 mm) were used in this study. The isotropic 3D magnetic resonance angiography images with 512 x 512 x (224-250) voxels (voxel size, 0.35 mm) were processed by use of the BSE filter. The initial candidates were identified by use of a multiple gray-level thresholding technique on the BSE images and a region growing technique with monitoring some image features. A number of false-positives were removed by using different rules on 17 image features related to gray levels and morphology. Support vector machine, which can learn the image features of true positives and false positives, was used for further removal of false-positives. With this system, 94.1% of aneurysms were correctly detected with 2.1 false-positives per patient based on a leave-one-out-by-patient test method. This computer-aided diagnostic system would be useful in assisting radiologists for the detection of intracranial aneurysms in 3.0 T MRA.
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Reference Info. IEICE Tech. Rep., vol. 113, no. 410, MI2013-102, pp. 249-253, Jan. 2014.
Paper # MI2013-102 
Date of Issue 2014-01-19 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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)
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Conference Information
Committee MI  
Conference Date 2014-01-26 - 2014-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computer Assisted Diagnosis and Therapy Based on Computational Anatomy, etc. 
Paper Information
Registration To MI 
Conference Code 2014-01-MI 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of an automated identification system of unruptured intracranial aneurysm candidates based on a blob structure enhancement filter at 3.0 T magnetic resonance angiography 
Sub Title (in English)  
1st Author's Name Ze Jin  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Hidetaka Arimura  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Yukunori Korogi  
3rd Author's Affiliation University Hospital of Occupational & Environmental Health (Univ. Hospital of Occupational & Environmental Health)
4th Author's Name Fumio Yamashita  
4th Author's Affiliation Iwate Medical University (Medical Iwate Univ.)
5th Author's Name Makoto Sasaki  
5th Author's Affiliation Iwate Medical University (Medical Iwate Univ.)
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Speaker Author-1 
Date Time 2014-01-27 13:30:00 
Presentation Time 45 minutes 
Registration for MI 
Paper # MI2013-102 
Volume (vol) vol.113 
Number (no) no.410 
Page pp.249-253 
Date of Issue 2014-01-19 (MI) 

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