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| 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 |
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| 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. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | / / / / / / / | |
| 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 | |
| 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 | MI2013-102 |
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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 |
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| 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 |
| #Pages | 5 |
| Date of Issue | 2014-01-19 (MI) |
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