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Paper Abstract and Keywords
Presentation 2009-01-20 17:05
Pulmonary Vessel Area Extraction with Application to Reduce False Positive of Nodule Detection in 3D Chest CT Data
Bin Chen, Hideto Naito (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. of Tech./Nagoya Univ.), Kensaku Mori, Yasuhito Suenaga (Nagoya Univ.), Hirotoshi Honma (Sapporo Medical Univ.), Hirotsugu Takabatake (Sapporo Minami-Sanjo Hospital), Masaki Mori (Sapporo Kosei-General Hospital), Hiroshi Natori (Keiwa-kai Nishioka Hospital)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a novel approach to extract pulmonary vessels. Also we present its application to reduce the number of false positive (FP) regions by subtracting vessel regions from nodule candidate regions in an existing nodule detection method. We use a line structure enhancement filter and a blob structure enhancement filter based on Hessian matrix to emphasize the vessel-like regions and blob-like regions, respectively. Their output values are used to construct a speed function of the Level-set method. The fast marching algorithm, which is one of Level-set segmentation methods, uses this speed function to extracts the blood vessel region with suppressing extraction of the nodules by propagating its front to vessel-like regions. A quantitative performance evaluation of the vessel extraction method was performed by reduction rate of FPs. The result shows the proposed method can reduce the numbers of false positives occurred in our previous nodule detection method by $80\%$.
Keyword (in Japanese) (See Japanese page) 
(in English) vessel extraction / structure enhancement filter / speed function / false positive reduction / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 385, MI2008-127, pp. 305-310, Jan. 2009.
Paper # MI2008-127 
Date of Issue 2009-01-12 (MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

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 (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Pulmonary Vessel Area Extraction with Application to Reduce False Positive of Nodule Detection in 3D Chest CT Data 
Sub Title (in English)  
Keyword(1) vessel extraction  
Keyword(2) structure enhancement filter  
Keyword(3) speed function  
Keyword(4) false positive reduction  
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1st Author's Name Bin Chen  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Hideto Naito  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Takayuki Kitasaka  
3rd Author's Affiliation Aichi Institute of Technology (Aichi Inst. of Tech./Nagoya Univ.)
4th Author's Name Kensaku Mori  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Yasuhito Suenaga  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Hirotoshi Honma  
6th Author's Affiliation Sapporo Medical University (Sapporo Medical Univ.)
7th Author's Name Hirotsugu Takabatake  
7th Author's Affiliation Sapporo Minami-Sanjo Hospital (Sapporo Minami-Sanjo Hospital)
8th Author's Name Masaki Mori  
8th Author's Affiliation Sapporo Kosei-General Hospital (Sapporo Kosei-General Hospital)
9th Author's Name Hiroshi Natori  
9th Author's Affiliation Keiwa-kai Nishioka Hospital (Keiwa-kai Nishioka Hospital)
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Speaker
Date Time 2009-01-20 17:05:00 
Presentation Time 10 
Registration for MI 
Paper # IEICE-MI2008-127 
Volume (vol) IEICE-108 
Number (no) no.385 
Page pp.305-310 
#Pages IEICE-6 
Date of Issue IEICE-MI-2009-01-12 


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