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Dose reconstruction from PET images in carbon ion therapy: a deconvolution approach
https://repo.qst.go.jp/records/77434
https://repo.qst.go.jp/records/77434acd29784-4196-4797-b119-d9ee500152a2
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2019-11-13 | |||||
タイトル | ||||||
タイトル | Dose reconstruction from PET images in carbon ion therapy: a deconvolution 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 |
Hofmann, Theresa
× Hofmann, Theresa× Pinto, Marco× Mohammadi, Akram× Nitta, Munetaka× Nishikido, Fumihiko× Iwao, Yuma× Tashima, Hideaki× Yoshida, Eiji× Chacon, Andrew× Safavi naeini, Mitra× Rosenfeld, Anatoly× Yamaya, Taiga× Parodi, Katia× Hofmann, Theresa× Mohammadi, Akram× Munetaka, Nitta× Fumihiko, Nishikido× Yuma, Iwao× Hideaki, Tashima× Eiji, Yoshida× Chacon, Andrew× Safavi naeini, Mitra× Taiga, Yamaya× Parodi, Katia |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Dose and range verification have become important tools to bring carbon ion therapy to a higher level of confidence in clinical applications. Positron emission tomography is among the most commonly used approaches for this purpose and relies on the creation of positron emitting nuclei in nuclear interactions of the primary ions with tissue. Predictions of these positron emitter distributions are usually obtained from time-consuming Monte Carlo simulations or measurements from previous treatment fractions, and their comparison to the current, measured image allows for treatment verification. Still, a direct comparison of planned and delivered dose would be highly desirable, since the dose is the quantity of interest in radiation therapy and its confirmation improves quality assurance in carbon ion therapy. In this work, we present a deconvolution approach to predict dose distributions from PET images in carbon ion therapy. Under the assumption that the one-dimensional PET distribution is described by a convolution of the depth dose distribution and a filter kernel, an evolutionary algorithm is introduced to perform the reverse step and predict the depth dose distribution from a measured PET distribution. Filter kernels are obtained from either a library or are created for any given situation on-the-fly, using predictions of the positron emitter (B+) decay and depth dose distributions, and the very same evolutionary algorithm. The applicability of this approach is demonstrated for monoenergetic and polyenergetic carbon ion irradiation of homogeneous and heterogeneous solid phantoms as well as a patient computed tomography image, using Monte Carlo simulated distributions and measured in-beam PET data. Carbon ion ranges are predicted within less than 0.5 mm and 1 mm deviation for simulated and measured distributions, respectively. |
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書誌情報 |
Physics in Medicine & Biology 巻 64, 号 2, p. 025011, 発行日 2019-11 |
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出版者 | ||||||
出版者 | IOP Publishing | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0031-9155 | |||||
PubMed番号 | ||||||
識別子タイプ | PMID | |||||
関連識別子 | 30524026 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1088/1361-6560/aaf676 | |||||
関連サイト | ||||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1088/1361-6560/aaf676 |