WEKO3
アイテム
Iterative Image Reconstruction Algorithm with Parameter Estimation by Neural Network for Computed Tomography
https://tokushima-u.repo.nii.ac.jp/records/2011201
https://tokushima-u.repo.nii.ac.jp/records/20112019b9420f4-09db-47c7-82fc-e9e74fc7b0ae
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
algo_16 _1_60.pdf (1.3 MB)
|
.png)
|
| Item type | 文献 / Documents(1) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2023-09-04 | |||||||||||
| アクセス権 | ||||||||||||
| アクセス権 | open access | |||||||||||
| 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 | |||||||||||
| 出版社版DOI | ||||||||||||
| 識別子タイプ | DOI | |||||||||||
| 関連識別子 | https://doi.org/10.3390/a16010060 | |||||||||||
| 言語 | ja | |||||||||||
| 関連名称 | 10.3390/a16010060 | |||||||||||
| 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 | Iterative Image Reconstruction Algorithm with Parameter Estimation by Neural Network for Computed Tomography | |||||||||||
| 言語 | en | |||||||||||
| 著者 |
兒島, 雄志
× 兒島, 雄志× 吉永, 哲哉
WEKO
1587
|
|||||||||||
| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | Recently, an extended family of power-divergence measures with two parameters was proposed together with an iterative reconstruction algorithm based on minimization of the divergence measure as an objective function of the reconstructed images for computed tomography. Numerical experiments on the reconstruction algorithm illustrated that it has advantages over conventional iterative methods from noisy measured projections by setting appropriate values of the parameters. In this paper, we present a novel neural network architecture for determining the most appropriate parameters depending on the noise level of the projections and the shape of the target image. Through experiments, we show that the algorithm of the architecture, which has an optimization sub-network with multiplicative connections rather than additive ones, works well. | |||||||||||
| 言語 | en | |||||||||||
| キーワード | ||||||||||||
| 言語 | en | |||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | deep learning | |||||||||||
| キーワード | ||||||||||||
| 言語 | en | |||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | computed tomography | |||||||||||
| キーワード | ||||||||||||
| 言語 | en | |||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | iterative image reconstruction | |||||||||||
| キーワード | ||||||||||||
| 言語 | en | |||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | learned optimization algorithm | |||||||||||
| 書誌情報 |
en : Algorithms 巻 16, 号 1, p. 60, 発行日 2023-01-16 |
|||||||||||
| 収録物ID | ||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||
| 収録物識別子 | 19994893 | |||||||||||
| 出版者 | ||||||||||||
| 出版者 | MDPI | |||||||||||
| 言語 | en | |||||||||||
| 権利情報 | ||||||||||||
| 言語 | en | |||||||||||
| 権利情報 | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | |||||||||||
| EID | ||||||||||||
| 識別子 | 393670 | |||||||||||
| 識別子タイプ | URI | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
