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Paper Abstract and Keywords
Presentation 2013-01-25 10:35
A Study on Bronchus Segmentation based on Machine Learning and Graph Cuts from Chest CT Image
Yukitaka Nimura (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech.), Hirotoshi Honma (Sapporo-Kosei General Hospital), Hirotsugu Takabatake (Sapporo Minami-Sanjo Hospital), Masaki Mori (Sapporo-Kosei General Hospital), Hiroshi Natori (Keiwa-Kai Nishioka Hospital), Kensaku Mori (Nagoya Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes a bronchus segmentation method based on scale estimation and graph cuts of bronchi from chest CT image. A lot of previous methods utilize region growing or level set algorithms based on anatomical knowledge of connectivity of bronchi. However, it is difficult to extract bronchus precisely by only using these algorithms. Because connectivity of bronchi is often lost by partial volume effects, heartbeat, image noise or tumor in actual CT images. In this paper, we propose a method of bronchus segmentation based on another anatomical knowledge about bronchus. The proposed method detects voxels of medial lines of bronchi and its radius by using local intensity structure analysis, and extracts bronchi by using graph cuts segmentation that utilizes cost function with radius information. As the result, Jaccard index was 69.9%.
Keyword (in Japanese) (See Japanese page) 
(in English) bronchus / scale estimation / graph cuts / computer-aided diagnosis / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 411, MI2012-98, pp. 191-196, Jan. 2013.
Paper # MI2012-98 
Date of Issue 2013-01-17 (MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee MI  
Conference Date 2013-01-24 - 2013-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computational anatomy and its application to computer assisted diagnosis and therapy, etc 
Paper Information
Registration To MI 
Conference Code 2013-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Bronchus Segmentation based on Machine Learning and Graph Cuts from Chest CT Image 
Sub Title (in English)  
Keyword(1) bronchus  
Keyword(2) scale estimation  
Keyword(3) graph cuts  
Keyword(4) computer-aided diagnosis  
1st Author's Name Yukitaka Nimura  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Takayuki Kitasaka  
2nd Author's Affiliation Aichi Institute of Technology (Aichi Inst. of Tech.)
3rd Author's Name Hirotoshi Honma  
3rd Author's Affiliation Sapporo-Kosei General Hospital (Sapporo-Kosei General Hospital)
4th Author's Name Hirotsugu Takabatake  
4th Author's Affiliation Sapporo Minami-Sanjo Hospital (Sapporo Minami-Sanjo Hospital)
5th Author's Name Masaki Mori  
5th Author's Affiliation Sapporo-Kosei General Hospital (Sapporo-Kosei General Hospital)
6th Author's Name Hiroshi Natori  
6th Author's Affiliation Keiwa-Kai Nishioka Hospital (Keiwa-Kai Nishioka Hospital)
7th Author's Name Kensaku Mori  
7th Author's Affiliation Nagoya University (Nagoya Univ.)
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Date Time 2013-01-25 10:35:00 
Presentation Time 15 
Registration for MI 
Paper # IEICE-MI2012-98 
Volume (vol) IEICE-112 
Number (no) no.411 
Page pp.191-196 
#Pages IEICE-6 
Date of Issue IEICE-MI-2013-01-17 

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