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  1. 原著論文

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/77434
acd29784-4196-4797-b119-d9ee500152a2
Item type 学術雑誌論文 / Journal Article(1)
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

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WEKO 998764

Hofmann, Theresa

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Pinto, Marco

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WEKO 998765

Pinto, Marco

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Mohammadi, Akram

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WEKO 998766

Mohammadi, Akram

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Nitta, Munetaka

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WEKO 998767

Nitta, Munetaka

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Nishikido, Fumihiko

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WEKO 998768

Nishikido, Fumihiko

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Iwao, Yuma

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WEKO 998769

Iwao, Yuma

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Tashima, Hideaki

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WEKO 998770

Tashima, Hideaki

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Yoshida, Eiji

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WEKO 998771

Yoshida, Eiji

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Chacon, Andrew

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WEKO 998772

Chacon, Andrew

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Safavi naeini, Mitra

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WEKO 998773

Safavi naeini, Mitra

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Rosenfeld, Anatoly

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WEKO 998774

Rosenfeld, Anatoly

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Yamaya, Taiga

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WEKO 998775

Yamaya, Taiga

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Parodi, Katia

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WEKO 998776

Parodi, Katia

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Hofmann, Theresa

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Mohammadi, Akram

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Munetaka, Nitta

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Fumihiko, Nishikido

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WEKO 998780

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Yuma, Iwao

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WEKO 998781

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Hideaki, Tashima

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WEKO 998782

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Eiji, Yoshida

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WEKO 998783

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Chacon, Andrew

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WEKO 998784

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Safavi naeini, Mitra

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WEKO 998785

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Taiga, Yamaya

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WEKO 998786

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Parodi, Katia

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WEKO 998787

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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.
書誌情報 Physics in Medicine & Biology

巻 64, 号 2, p. 025011, 発行日 2019-11
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
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