Paper Abstract and Keywords |
Presentation |
2008-01-25 10:10
A Method for Extraction of Corresponding Point Pairs among Lung Vessels in Multi-temporal Helical CT Data Hiroshi Hanaizumi (Hosei University) MI2007-64 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
A lung cancer screening system, in which two sets of multi-temporal helical CT data were co-registered and subtracted to detect temporal shape change, has been developed. In order to detect tumor accurately, we have to register lung vessels in one data set onto the other precisely. In the system, branching points of lung vessels, which were extracted by Successive Region Growing (SGR), were used as corresponding points. Lung regions in each data set were divided into many trigonal pyramids, respectively, whose vertices were the corresponding points. Then, 3D Affine transformation was applied to all corresponding trigonal pairs for smooth registration between them. Subtraction of them gave us the shape change (i.e. candidate of tumor) between two data sets. One of remaining problems was low performance in finding corresponding pair of branching points. Here, a new method was proposed to realize efficient matching among branching point sets. In the CT data, lung vessels were represented as two parts; one wass root block near interpenetration region of vessels into lung and the others branches come out from the root. In the multi-temporal data, branches had discrepancy in position and direction, but root blocks had almost the same shape. So, only the root blocks without branches were firstly co-registered. This registration enabled us to find corresponding pair of branches following the root blocks, respectively. Branching points were traced along these branches and minimum distance point pairs of the branching points were obtained as initial corresponding pairs for the registration. These pairs were iteratively updated by using the minimum distance pairing like the ICP algorithm. The fixed corresponding point pairs are used to divide each lung area into trigonal pyramids, respectively. In this paper, principle and procedures of the method are described. Application results of the method to actual multi-temporal helical CT data were also shown. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Screening / Registration / ICP algorithm / Shape change extraction / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 461, MI2007-64, pp. 7-12, Jan. 2008. |
Paper # |
MI2007-64 |
Date of Issue |
2008-01-18 (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) |
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MI2007-64 |
Conference Information |
Committee |
MI |
Conference Date |
2008-01-25 - 2008-01-26 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Naha-Bunka-Tenbusu |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Medical Imaging |
Paper Information |
Registration To |
MI |
Conference Code |
2008-01-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Method for Extraction of Corresponding Point Pairs among Lung Vessels in Multi-temporal Helical CT Data |
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Screening |
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Registration |
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ICP algorithm |
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Shape change extraction |
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Hiroshi Hanaizumi |
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Hosei University (Hosei University) |
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Speaker |
Author-1 |
Date Time |
2008-01-25 10:10:00 |
Presentation Time |
10 minutes |
Registration for |
MI |
Paper # |
MI2007-64 |
Volume (vol) |
vol.107 |
Number (no) |
no.461 |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2008-01-18 (MI) |
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