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Estimation of X-ray Energy Spectrum of Cone-Beam Computed Tomography Scanner Using Percentage Depth Dose Measurements and Machine Learning Approach
https://repo.qst.go.jp/records/84057
https://repo.qst.go.jp/records/84057cba02cac-e819-4886-9094-675a03a0249c
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2021-08-03 | |||||
| タイトル | ||||||
| タイトル | Estimation of X-ray Energy Spectrum of Cone-Beam Computed Tomography Scanner Using Percentage Depth Dose Measurements and Machine Learning Approach | |||||
| 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 | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
Hasegawa, Yu
× Hasegawa, Yu× Akihiro Haga× Dousatsu Sakata× Yuki Kanazawa× Masahide Tominaga× Motoharu Sasaki× Toshikazu Imae× Dousatsu, Sakata |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | This study presents, for the first time, a method to indirectly estimate the cone-beam computed tomography (CBCT) x-ray spectrum in the diagnostic energy range from the percentage depth dose (PDD) using machine learning (ML) algorithms. Assuming that the measured PDD is a weighted mean of monochromatic PDDs (mPDDs) resulting from monochromatic x-ray energies, mPDDs from the diagnostic energy range of 10 to 140 keV are simulated at 1 keV intervals by Monte Carlo (MC) calculation. Then, x-ray spectrum prediction models are constructed using two different ML approaches, namely the artificial neural network (ANN) based on a generative model and a maximum a posterior (MAP) model. Both models account for more than 80% of the x-ray photons obtained by full MC simulations in commercial CBCT systems. The present method is expected to be applied into a beam hardening reduction in CBCT reconstruction, CBCT dose calculation, and a material decomposition which require exact information on the x-ray energy spectrum. | |||||
| 書誌情報 |
Journal of the Physical Society of Japan 巻 90, 号 7, p. 074801, 発行日 2021-06 |
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| 出版者 | ||||||
| 出版者 | The Physical Society of Japan | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 0031-9015 | |||||
| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.7566/JPSJ.90.074801 | |||||
| 関連サイト | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | https://journals.jps.jp/doi/full/10.7566/JPSJ.90.074801 | |||||
