Virtual cone-beam computed tomography simulator with human phantom library and its application to the elemental material decomposition

• Material Type: 博士論文
• Title: Virtual cone-beam computed tomography simulator with human phantom library and its application to the elemental material decomposition
• Author/Editor: Shimomura, Taisei; Fujiwara, Daiyu; Inoue, Yuki; Takeya, Atsushi; Ohta, Takeshi; Nozawa, Yuki; Imae, Toshikazu; Nawa, Kanabu; Nakagawa, Keiichi; Haga, Akihiro
• Author Heading: Shimomura, Taisei; Fujiwara, Daiyu; Inoue, Yuki; Takeya, Atsushi; Ohta, Takeshi; Nozawa, Yuki; Imae, Toshikazu; Nawa, Kanabu; Nakagawa, Keiichi; Haga, Akihiro
• Publication, Distribution, etc.: Elsevier
• Publication Date: 2023-09-04; 113
• Publication Date (W3CDTF): 2023-09-04
• Alternative Title: 人体ファントムライブラリに基づく仮想コーンビームCTの開発と元素分布分析への応用
• Degree grantor/type: 徳島大学
• Date Granted: 2024-03-22
• Date Granted (W3CDTF): 2024-03-22
• Dissertation Number: 甲第3804号
• Degree Type: 博士（保健学）
• Text Language Code: eng
• Subject Heading: Monte Carlo simulation; Cone-beam computed tomography; Human phantom; Material decomposition; Artificial intelligence; Computer vision; コーンビームCT; 人体ファントム; 元素分析; 人工知能; コンピュータービジョン
• Target Audience: 一般
• Note (General): Purpose: The purpose of this study is to develop a virtual CBCT simulator with a head and neck (HN) human phantom library and to demonstrate the feasibility of elemental material decomposition (EMD) for quantitative CBCT imaging using this virtual simulator.Methods: The library of 36 HN human phantoms were developed by extending the ICRP 110 adult phantoms based on human age, height, and weight statistics. To create the CBCT database for the library, a virtual CBCT simulator that simulated the direct and scattered X-ray on a flat panel detector using ray-tracing and deep-learning (DL) models was used. Gaussian distributed noise was also included on the flat panel detector, which was evaluated using a real CBCT system. The usefulness of the virtual CBCT system was demonstrated through the application of the developed DL-based EMD model for case involving virtual phantom and real patient.Results: The virtual simulator could generate various virtual CBCT images based on the human phantom library, and the prediction of the EMD could be successfully performed by preparing the CBCT database from the proposed virtual system, even for a real patient. The CBCT image degradation owing to the scattered X-ray and the statistical noise affected the prediction accuracy, although these effects were minimal. Furthermore, the elemental distribution using the real CBCT image was also predictable.Conclusions: This study demonstrated the potential of using computer vision for medical data preparation and analysis, which could have important implications for improving patient outcomes, especially in adaptive radiation therapy.
• Persistent ID (NDL): info:ndljp/pid/13700345; https://dl.ndl.go.jp/pid/13700345
• Collection: 障害者向け資料
• Collection (Materials For Handicapped People:1): テキストデータ
• Collection (particular): 国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文; https://dl.ndl.go.jp/collections/A00014
• Acquisition Basis: 博士論文（自動収集）
• Date Accepted (W3CDTF): 2024-06-07T22:11:43+09:00
• Format (IMT): application/pdf
• Access Restrictions: 国立国会図書館内限定公開
• Service for the Digitized Contents Transmission Service: 図書館・個人送信対象外
• Availability of remote photoduplication service: 可
• Periodical Title (URI): http://repo.lib.tokushima-u.ac.jp/119336
• Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp