胸部CT画像の計算機診断支援に関する研究 : ―気管支領域の認識―

Material type: 文書・図像類

Author: 北坂, 孝幸ほか

Publisher: 愛知工業大学

Publication date: 2010-09-06

Material Format: Digital

Capacity, size, etc.: -

NDC: -

View All

Notes on use

Note (General)：: This paper describes a novel method for extracting bronchial regions from 3D chest CT images. Several groups have proposed methods for extracting bron...

Search by Bookstore

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

List of Cooperating Institutions and Databases

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

AIT Associated Repository of Academic Resources
Digital
You can check the holdings of institutions and databases with which 学術機関リポジトリデータベース（IRDB）（機関リポジトリ） is linked at the site of 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）.
AIT Associated Repository of Academic Resources

Search by Bookstore

Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Digital

Material Type: 文書・図像類
Title: 胸部CT画像の計算機診断支援に関する研究 : ―気管支領域の認識―
Author/Editor: 北坂, 孝幸
森, 健策
末永, 康仁
Author Heading: 北坂, 孝幸
森, 健策
末永, 康仁
Publication, Distribution, etc.: 愛知工業大学
Publication Date: 2010-09-06
Publication Date (W3CDTF): 2010-09-06
Alternative Title: キョウブ　CT　ガゾウ　ノ　ケイサンキ　シンダン　シエン　ニ　カンスル　ケンキュウ　キカンシ　リョウイキ　ノ　ニンシキ
A study on computer aided diagnosis system for chest CT images : -Recognition of bronchus-
Periodical title: 総合技術研究所研究報告=Bulletin of Research Institute for Industrial Technology.
No. or year of volume/issue: 12
Volume: 12
Pages: 95-99
ISSN (Periodical Title): ISSN : 1344-9672
Text Language Code: jpn
Target Audience: 一般
Note (General): This paper describes a novel method for extracting bronchial regions from 3D chest CT images. Several groups have proposed methods for extracting bronchial regions by region growing algorithms. However, these methods don't work well in the case that tumors divide the bronchial region into several parts. We propose a method that can extract the bronchial region in such cases using local intensity structure analysis, CT value distribution and shape features. First, the proposed method extracts cylindrical structure based on analysis of Hessian matrix. Second, it extracts tube structure by a modified RRF to analyze CT value distribution and shape features. At last, it extracts the bronchial region by integrating regions extracted by Hessian matrix analysis and RRF. We applied the proposed method to four cases of 3D chest CT images and showed that the proposed method could extract bronchial regions in the case that a tumor divides the bronchial region.
identifier:http://repository.aitech.ac.jp/dspace/handle/11133/1719
Format (IMT): application/pdf
Source: http://repository.aitech.ac.jp/dspace/bitstream/11133/1719/1/%e7%b7%8f%e7%a0%9412%e5%8f%b7%28P95-99%29.pdf
http://repository.aitech.ac.jp/dspace/bitstream/11133/1719/1/%e7%b7%8f%e7%a0%9412%e5%8f%b7%28P95-99%29.pdf
Access Restrictions: 限定公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 愛知工業大学 : 愛知工業大学学術情報リポジトリ