| アイテムタイプ |
学術雑誌論文 = Journal Article(1) |
| 公開日 |
2024-11-01 |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| タイトル |
|
|
タイトル |
Unsupervised image registration based on Residual-connected DRMINE for diagnostic metastatic bone tumors |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 著者 |
Baba, Shogo
神谷, 亨
Terasawa, Takashi
Aoki, Takatoshi
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Metastatic tumors are frequently identified through follow-up surveillance using computed tomography (CT) scans. However, CT scans produce more than 100 images in an examination, which imposes a significant burden on radiologists and entails a potential risk of misdiagnosis. Temporal subtraction is utilized in Computer-Aided Diagnosis (CAD) and proves to be an effective technique in aiding image interpretation process for the radiologists. In this study, we focus on the preliminary stage of CAD development specialized in bone metastasis extraction, with a particular emphasis on rigid registration. We propose a novel rigid registration technique by augmenting DRMINE, which estimates mutual information using neural networks, with skip connections and normalization. From the three datasets, ten images were selected randomly from the cervical, thoracic, and lumbar regions. These images were then augmented with rotation as well as horizontal and vertical translations to create modified versions. The registration accuracy was assessed based on the Full Width at Half Maximum (FWHM) of the difference images. In the proposed method, FWHM values for the thoracic and lumbar regions of the spine exhibited a maximum reduction rate of 2.8% and a minimum reduction rate of 0.533%. However, the cervical spine region exhibited superior FWHM results with DRMINE compared to the proposed methodology. The proposed method was influenced by the capture area, but it indicated the potential to provide stable registration as the standard deviation decreased for all FWHM values. |
|
言語 |
en |
| 備考 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
The 2024 International Conference on Artificial Life and Robotics (ICAROB 2024), February 22-25, 2024, on line, Oita, Japan |
| 書誌情報 |
en : Proceedings of International Conference on Artificial Life & Robotics (ICAROB2024)
p. 1016-1020,
発行日 2024-02
|
| 出版社 |
|
|
出版者 |
ALife Robotics |
|
言語 |
en |
| ISBN |
|
|
|
識別子タイプ |
ISBN |
|
|
関連識別子 |
978-4-9913337-0-5 |
| ISSN |
|
|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
2435-9157 |
| 著作権関連情報 |
|
|
権利情報 |
Copyright (c) The authors. |
| 著作権関連情報 |
|
|
権利情報Resource |
https://creativecommons.org/licenses/by-nc/4.0/ |
|
権利情報 |
This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
| 会議記述 |
|
|
|
会議名 |
The 2024 International Conference on Artificial Life and Robotics |
|
|
開始年 |
2024 |
|
|
開始月 |
02 |
|
|
開始日 |
22 |
|
|
終了年 |
2024 |
|
|
終了月 |
02 |
|
|
終了日 |
25 |
|
|
開催地 |
On line, Oita |
|
開催国 |
JPN |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 査読の有無 |
|
|
値 |
yes |
| 研究者情報 |
|
|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/25_ja.html |
| 論文ID（連携） |
|
|
値 |
10444856 |
| 連携ID |
|
|
値 |
12699 |
10444856.pdf (554.6 KB)
