| Item type |
共通アイテムタイプ(1) |
| 公開日 |
2025-07-23 |
| タイトル |
|
|
タイトル |
Detection of Lung Regions from LDCT Images and 3D Image Registration Using FFD |
|
言語 |
en |
| 著者 |
Tanaka, Chika
神谷, 亨
Terasawa, Takashi
Aoki, Takatoshi
|
| 著作権関連情報 |
|
|
言語 |
en |
|
権利情報 |
Copyright (c) 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
In recent years, lung cancer is a serious disease worldwide. To overcome the disease, early detection and early treatment of lung cancer are important tasks. In Japan, CT (Computed Tomography) examination is performed in many medical facilities for visual screening. However, there is a problem that huge number of images taken by CT is a burden to the doctor. Therefore, the CAD (Computer Aided Diagnosis) system is in the spotlight to reduce the burden. On the other hand, in CT screening, LDCT (Low Dose Computed Tomography) is desirable considering radiation exposure. However, the LDCT image is characterized by lower image quality at lower dose. Therefore, a CAD that can be applied to LDCT is needed. In this paper, we propose a lung field detection method and a three-dimensional (3D) registration method to generate temporal subtraction images that can be applied to LDCT images. Our method consists of the following steps: detection of lung regions using an active contour model, correction of corresponding slices between images, global matching based on the center of gravity, setting the VOI (volume of interest), and local matching on the VOI. In this paper, we apply our method to LDCT images of 7 cases. In addition, we conducted a comparison experiment with other registration methods. In the proposed method, a decrease of 7.55% in FWHM and 34.4% in sum of histogram of temporal subtraction images compared to the other method, and its usefulness was verified. |
|
言語 |
en |
| 備考 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
2025 9th International Conference on Biomedical Engineering and Applications (ICBEA), 27 February 2025 - 02 March 2025, Seoul, Korea |
|
言語 |
en |
| 書誌情報 |
en : 2025 9th International Conference on Biomedical Engineering and Applications (ICBEA)
p. 26-30,
発行日 2025-06-03
|
| 出版社 |
|
|
出版者 |
IEEE |
|
言語 |
en |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Computer Aided Diagnosis |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Low Dose Computed Tomography |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Registration |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Free-Form Deformation |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Active Contour Model |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版タイプ |
|
|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| DOI |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.1109/ICBEA66055.2025.00013 |
| ISBN |
|
|
|
識別子タイプ |
ISBN |
|
|
関連識別子 |
979-8-3315-3571-1 |
| 会議記述 |
|
|
|
会議名 |
2025 9th International Conference on Biomedical Engineering and Applications (ICBEA) |
|
|
言語 |
en |
|
回次 |
9 |
|
|
開始年 |
2025 |
|
|
開始月 |
02 |
|
|
開始日 |
27 |
|
|
終了年 |
2025 |
|
|
終了月 |
03 |
|
|
終了日 |
02 |
|
|
開催地 |
Seoul |
|
|
言語 |
en |
|
開催国 |
KOR |
| 研究者情報 |
|
|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/25_ja.html |
| 論文ID（連携） |
|
|
値 |
10461631 |
| 連携ID |
|
|
値 |
14703 |
10461631.pdf (492.5 KB)
