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Noise Reduction Using Singular Value Decomposition with Jensen–Shannon Divergence for Coronary Computed Tomography Angiography
https://tokushima-u.repo.nii.ac.jp/records/2010857
https://tokushima-u.repo.nii.ac.jp/records/20108578f2075a7-9303-4330-a031-70904b261397
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
diag_13_6_1111.pdf (4.65 MB)
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| Item type | 文献 / Documents(1) | |||||||||||||||||
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| 公開日 | 2023-03-16 | |||||||||||||||||
| 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/diagnostics13061111 | |||||||||||||||||
| 言語 | ja | |||||||||||||||||
| 関連名称 | 10.3390/diagnostics13061111 | |||||||||||||||||
| 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 | Noise Reduction Using Singular Value Decomposition with Jensen–Shannon Divergence for Coronary Computed Tomography Angiography | |||||||||||||||||
| 言語 | en | |||||||||||||||||
| 著者 |
笠井, 亮佑
× 笠井, 亮佑
WEKO
928
× 大塚, 秀樹
WEKO
1642
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| 抄録 | ||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||
| 内容記述 | Coronary computed tomography angiography (CCTA) is widely used due to its improvements in computed tomography (CT) diagnostic performance. Unlike other CT examinations, CCTA requires shorter rotation times of the X-ray tube, improving the temporal resolution and facilitating the imaging of the beating heart in a stationary state. However, reconstructed CT images, including those of the coronary arteries, contain insufficient X-ray photons and considerable noise. In this study, we introduce an image-processing technique for noise reduction using singular value decomposition (SVD) for CCTA images. The threshold of SVD was determined on the basis of minimization of Jensen–Shannon (JS) divergence. Experiments were performed with various numerical phantoms and varying levels of noise to reduce noise in clinical CCTA images using the determined threshold value. The numerical phantoms produced 10% higher-quality images than the conventional noise reduction method when compared on a quantitative SSIM basis. The threshold value determined by minimizing the JS–divergence was found to be useful for efficient noise reduction in actual clinical images, depending on the level of noise. | |||||||||||||||||
| 言語 | en | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | coronary computed tomography angiography | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | singular value decomposition | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | Jensen–Shannon divergence | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | noise reduction | |||||||||||||||||
| 書誌情報 |
en : Diagnostics 巻 13, 号 6, p. 1111, 発行日 2023-03-15 |
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| 収録物ID | ||||||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||||||
| 収録物識別子 | 20754418 | |||||||||||||||||
| 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/). | |||||||||||||||||
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| 識別子 | 394548 | |||||||||||||||||
| 識別子タイプ | URI | |||||||||||||||||
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| 言語 | eng | |||||||||||||||||
