Paper Abstract and Keywords |
Presentation |
2019-01-22 09:35
Acceleration of angiographic region enhancement based on robust principal component analysis using parallel processing Morio Kawabe, Yuri Kokura, Takashi Ohnishi, Hideyuki Kato, Yoshihiko Ooka (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.), Hideaki Haneishi (Chiba Univ.) MI2018-59 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Robust principal component analysis (RPCA) can extract vessel information from consecutive digital angiographic images. However, standard RPCA also provided artifacts around vessel regions whose contrast was low. Although RPCA was improved by additional restriction terms, processing time increased. In this study, we accelerated the improved PRCA for clinical application. The accelerated PRCA could generate vessel extraction image within about 10 seconds whereas conventional environment required more than 3 hours. The difference between generated images by both environments was evaluated and we confirmed that no significant difference was observed. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
X-ray image / Angiographic image / RPCA / Parallel processing / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 412, MI2018-59, pp. 1-4, Jan. 2019. |
Paper # |
MI2018-59 |
Date of Issue |
2019-01-15 (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) |
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MI2018-59 |
Conference Information |
Committee |
MI |
Conference Date |
2019-01-22 - 2019-01-23 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
|
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Medical Image Engineering, Analysis, Recognition, etc. |
Paper Information |
Registration To |
MI |
Conference Code |
2019-01-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Acceleration of angiographic region enhancement based on robust principal component analysis using parallel processing |
Sub Title (in English) |
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Keyword(1) |
X-ray image |
Keyword(2) |
Angiographic image |
Keyword(3) |
RPCA |
Keyword(4) |
Parallel processing |
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1st Author's Name |
Morio Kawabe |
1st Author's Affiliation |
Chiba University (Chiba Univ.) |
2nd Author's Name |
Yuri Kokura |
2nd Author's Affiliation |
Chiba University (Chiba Univ.) |
3rd Author's Name |
Takashi Ohnishi |
3rd Author's Affiliation |
Chiba University (Chiba Univ.) |
4th Author's Name |
Hideyuki Kato |
4th Author's Affiliation |
Chiba University (Chiba Univ.) |
5th Author's Name |
Yoshihiko Ooka |
5th Author's Affiliation |
Chiba University (Chiba Univ.) |
6th Author's Name |
Tomoya Sakai |
6th Author's Affiliation |
Nagasaki University (Nagasaki Univ.) |
7th Author's Name |
Hideaki Haneishi |
7th Author's Affiliation |
Chiba University (Chiba Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-01-22 09:35:00 |
Presentation Time |
15 minutes |
Registration for |
MI |
Paper # |
MI2018-59 |
Volume (vol) |
vol.118 |
Number (no) |
no.412 |
Page |
pp.1-4 |
#Pages |
4 |
Date of Issue |
2019-01-15 (MI) |
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