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Paper Abstract and Keywords
Presentation 2006-01-27 16:15
An Accurate Method for Registering Lung Vessels using Multi-temporal Helical CT data
Hiroshi Hanaizumi, Tomoko Uemura, Shinya Tanaka (Hosei Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) An accurate method was proposed for registering multi-temporal 3D lung vessels in helical CT data for a person. The performance of the method was improved in finding corresponding point pairs (CPP) and in transferring vessel volume data. In the finding CPP, a shell search algorithm based on branch matching was newly introduced. Sensing spheres were put on start points of skeletons extracted from both 3D CT data, respectively, then their radii were increased. Skeleton branches were observed as cross-points on the sphere and were traced by increasing the radii of spheres. Number of cross-points indicated number of branches. Omitting the relative distance between centers of the sphere, distance between a cross-point on one sphere and one on the other was evaluated. We determined that the minimum distance pair of the cross-points was a corresponding branch pair. The centers of the spheres were recursively moved to the new branching points, respectively, for the next branch matching. Branching points as CPPs were obtained by tracing the skeletons. In transferring vessel volume data, 3D piece-wise Affine transformation was introduced. Firstly, the rectangular solid was defined by the size of 3D CT data, and the solid was divided into 5 initial trigonal pyramids. The initial trigonal pyramids were recursively divided into 4 sub-trigonal pyramids so that their vertices were corner points and CPPs obtained by the shell search algorithm. After the division, trigonal pyramids including the corner points were removed. Finally, vessel volume data in each trigonal pyramid remained were piece-wisely transformed to the other member of the corresponding pair of the trigonal pyramids. The performance of the method was evaluated by numerical simulation.
Keyword (in Japanese) (See Japanese page) 
(in English) Successive region growing / Shell search algorithm / Piece-wise Affine transformation / Branch matching / 3D Helical CT / / /  
Reference Info. IEICE Tech. Rep., vol. 105, no. 579, MI2005-102, pp. 143-146, Jan. 2006.
Paper # MI2005-102 
Date of Issue 2006-01-20 (MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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Conference Information
Committee MI  
Conference Date 2006-01-27 - 2006-01-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Miyakojimashi-Chuo-Kouminkan 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2006-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Accurate Method for Registering Lung Vessels using Multi-temporal Helical CT data 
Sub Title (in English)  
Keyword(1) Successive region growing  
Keyword(2) Shell search algorithm  
Keyword(3) Piece-wise Affine transformation  
Keyword(4) Branch matching  
Keyword(5) 3D Helical CT  
1st Author's Name Hiroshi Hanaizumi  
1st Author's Affiliation Hosei University (Hosei Univ.)
2nd Author's Name Tomoko Uemura  
2nd Author's Affiliation Hosei University (Hosei Univ.)
3rd Author's Name Shinya Tanaka  
3rd Author's Affiliation Hosei University (Hosei Univ.)
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Date Time 2006-01-27 16:15:00 
Presentation Time 15 
Registration for MI 
Paper # IEICE-MI2005-102 
Volume (vol) IEICE-105 
Number (no) no.579 
Page pp.143-146 
#Pages IEICE-4 
Date of Issue IEICE-MI-2006-01-20 

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