| Item type |
文献 / Documents(1) |
| 公開日 |
2022-02-03 |
| アクセス権 |
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アクセス権 |
open access |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版社版DOI |
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|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.1117/12.811396 |
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|
言語 |
ja |
|
|
関連名称 |
10.1117/12.811396 |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| タイトル |
|
|
タイトル |
An automated distinction of DICOM image for lung cancer CAD system |
|
言語 |
en |
| 著者 |
鈴木, 秀宣
財田, 伸介
久保, 満
河田, 佳樹
仁木, 登
西谷, 弘
オオマツ
エグチ
カネコ
モリヤマ
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Automated distinction of medical images is an important preprocessing in Computer-Aided Diagnosis (CAD) systems. The CAD systems have been developed using medical image sets with specific scan conditions and body parts. However, varied examinations are performed in medical sites. The specification of the examination is contained into DICOM textual meta information. Most DICOM textual meta information can be considered reliable, however the body part information cannot always be considered reliable. In this paper, we describe an automated distinction of DICOM images as a preprocessing for lung cancer CAD system. Our approach uses DICOM textual meta information and low cost image processing. Firstly, the textual meta information such as scan conditions of DICOM image is distinguished. Secondly, the DICOM image is set to distinguish the body parts which are identified by image processing. The identification of body parts is based on anatomical structure which is represented by features of three regions, body tissue, bone, and air. The method is effective to the practical use of lung cancer CAD system in medical sites. |
|
言語 |
en |
| キーワード |
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|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
DICOM |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
CAD |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Examined body part |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
X-ray CT |
| 書誌情報 |
en : Proceedings of SPIE
巻 7264,
p. 72640Z,
発行日 2009-03-13
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| 収録物ID |
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収録物識別子タイプ |
ISSN |
|
収録物識別子 |
0277786X |
| 収録物ID |
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|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA10619755 |
| 出版者 |
|
|
出版者 |
SPIE |
|
言語 |
en |
| 備考 |
|
|
言語 |
ja |
|
値 |
H. Suzuki, S. Saita, M. Kubo, Y. Kawata, N. Niki, H. Nishitani, H. Ohmatsu, K. Eguchi, M. Kaneko, and N. Moriyama "An automated distinction of DICOM images for lung cancer CAD system", Proc. SPIE 7264, Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 72640Z (13 March 2009); https://doi.org/10.1117/12.811396 |
| 権利情報 |
|
|
言語 |
en |
|
権利情報 |
Copyright 2009 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. |
| EID |
|
|
識別子 |
188062 |
|
識別子タイプ |
URI |
| 言語 |
|
|
言語 |
eng |
procspie_7264_72640Z.pdf (988 KB)
