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Presentation 2009-01-19 13:30
[Poster Presentation] Multiscale Polyp Segmentation Algorithm in CT Colonography
June-Goo Lee, Jong Hyo Kim (Seoul National Univ.), Se Hyung Kim (Seoul National Univ. Hospital) MI2008-101
Abstract (in Japanese) (See Japanese page) 
(in English) An automatic polyp segmentation algorithm in CT colonography is presented. This algorithm can provide quantitative measurement of polyp size which is used as the biomarker of malignancy. Hessian matrix is the square matrix of second partial derivatives of a scalar-valued function and is well known for object recognition in computer vision and medical shape analysis. We applied this multiscale Hessian classification method to polyp segmentation in CTC. The overall segmentation scheme is performed by following procedures. First, multiscale blob-likeness filter output images were produced. Second, the voxel which has the local maximum of blob-likeness value was selected as initial seed point in the following region growing process. Third, the region growing algorithm was applied to make initial polyp region. And the output region was dilated to include outside partial volume effect region. After the polyp region was extracted, the principle component analysis (PCA) was performed to find principle axis. According to this principle axis the sizes of polyps were measured automatically. For evaluation 6 anthropomorphic pig phantoms were prepared. There were 82 artificial polyps with different sizes and shapes. The results of computerized measurement were compared to that of manual ex-vivo measurement with vernier calipers. Linear regression was performed, and the result was 。ーy=2.82+0.79x。ア. Two groups were statistically correlated (p<0.001).
Keyword (in Japanese) (See Japanese page) 
(in English) Polyp segmentation / quantitative measurement / CTC CAD / Hessian matrix / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 385, MI2008-101, pp. 197-201, Jan. 2009.
Paper # MI2008-101 
Date of Issue 2009-01-12 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 2009-01-19 - 2009-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) National Taiwan University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2009-01-MI 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Multiscale Polyp Segmentation Algorithm in CT Colonography 
Sub Title (in English)  
Keyword(1) Polyp segmentation  
Keyword(2) quantitative measurement  
Keyword(3) CTC CAD  
Keyword(4) Hessian matrix  
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1st Author's Name June-Goo Lee  
1st Author's Affiliation Seoul National University, College of Medicine (Seoul National Univ.)
2nd Author's Name Jong Hyo Kim  
2nd Author's Affiliation Seoul National University, College of Medicine (Seoul National Univ.)
3rd Author's Name Se Hyung Kim  
3rd Author's Affiliation Seoul National University Hospital (Seoul National Univ. Hospital)
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Speaker Author-1 
Date Time 2009-01-19 13:30:00 
Presentation Time 210 minutes 
Registration for MI 
Paper # MI2008-101 
Volume (vol) vol.108 
Number (no) no.385 
Page pp.197-201 
#Pages
Date of Issue 2009-01-12 (MI) 


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