Paper Abstract and Keywords |
Presentation |
2013-09-13 13:50
Cerebrovascular Segmentation from CTA and MRA Image Shinya Maeda, Yutaro Yamamura, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa (Kyushu Inst. of Tech.), Akiyoshi Yamamoto (Tobata Kyoritsu Hospital) LOIS2013-21 IE2013-42 EMM2013-64 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Radiation therapy is one of treatment technique for tumor. In the treatment, tumor parts are exposed by radiation beams from several angles. To avoid radiation exposure to normal tissues in the treatment, radiation beams are aimed accurately to tumor. Consequently, to comprehend tumor parts from CT and/or MR images is important in treatment planning. The tumor parts are displayed effectively by applying the image registration between CT and MR images. Feature based image registration technique is one of typical approaches for image registration. In this study, to develop assistance system of radiation therapy for brain tumor, cerebrovascular segmentation method which is utilized as feature position detection of image registration technique for head CTA and MRA images has been proposed. Availability of proposed method has been investigated by applying to head CTA and MRA images. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Radiation Therapy / Head CTA Image / Head MRA Image / Cerebrovascular / Segmentation / Registration / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 211, IE2013-42, pp. 81-84, Sept. 2013. |
Paper # |
IE2013-42 |
Date of Issue |
2013-09-05 (LOIS, IE, EMM) |
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) |
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LOIS2013-21 IE2013-42 EMM2013-64 |
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