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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">mes</journal-id><journal-title-group><journal-title xml:lang="ru">Экстремальная биомедицина</journal-title><trans-title-group xml:lang="en"><trans-title>Extreme Medicine</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">3033-8964</issn><issn pub-type="epub">3033-8972</issn><publisher><publisher-name>Centre for Strategic Planning of the Federal Medical and Biological Agency</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.47183/mes.2023.030</article-id><article-id custom-type="elpub" pub-id-type="custom">mes-20</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОРИГИНАЛЬНОЕ ИССЛЕДОВАНИЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ORIGINAL RESEARCH</subject></subj-group></article-categories><title-group><article-title>Вычислительный фантом для дозиметрии красного костного мозга годовалого ребенка от инкорпорированных бета-излучателей</article-title><trans-title-group xml:lang="en"><trans-title>Computational red bone marrow dosimetry phantom of a one-year-old child enabling assessment of exposure due to incorporated beta emitters</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шарагин</surname><given-names>П. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Sharagin</surname><given-names>P. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Павел Алексеевич Шарагин</p><p>ул. Воровского, д. 68 А, г. Челябинск, 454141</p></bio><bio xml:lang="en"><p>Pavel A. Sharagin</p><p>Vorovsky, 68 A, Chelyabinsk, 454141</p></bio><email xlink:type="simple">sharagin@urcrm.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шишкина</surname><given-names>Е. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Shishkina</surname><given-names>E. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Челябинск</p></bio><bio xml:lang="en"><p>Chelyabinsk</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Толстых</surname><given-names>Е. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Tolstykh</surname><given-names>E. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Челябинск</p></bio><bio xml:lang="en"><p>Chelyabinsk</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Уральский научно-практический центр радиационной медицины Федерального медико-биологического агентства</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Urals Research Center for Radiation Medicine of Federal Medical and Biological Agency</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Уральский научно-практический центр радиационной медицины Федерального медико-биологического агентства; Челябинский государственный университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Urals Research Center for Radiation Medicine of Federal Medical and Biological Agency; Chelyabinsk State University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>22</day><month>10</month><year>2024</year></pub-date><volume>25</volume><issue>3</issue><fpage>45</fpage><lpage>55</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Шарагин П.А., Шишкина Е.А., Толстых Е.И., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Шарагин П.А., Шишкина Е.А., Толстых Е.И.</copyright-holder><copyright-holder xml:lang="en">Sharagin P.A., Shishkina E.A., Tolstykh E.I.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.extrememedicine.ru/jour/article/view/20">https://www.extrememedicine.ru/jour/article/view/20</self-uri><abstract><p>Остеотропные бета-излучающие изотопы стронция (89,90Sr) были основными источниками внутреннего облучения красного костного мозга (ККМ) для жителей прибрежных территорий реки Течи, подвергшейся радиоактивному загрязнению в 1950-е годы. Именно с дозой этих частиц связан повышенный риск лейкозов в когорте жителей ее прибрежных территорий. Важной задачей является совершенствование внутренней дозиметрии облучения ККМ. Она включает в себя разработку вычислительных фантомов, представляющих собой трехмерные модели участков скелета. Имитация переноса излучения в гетерогенной модели кости позволяет оценить коэффициенты перехода от активности радионуклида в кости к дозе на ККМ. Эта статья является продолжением работы по созданию набора вычислительных фантомов скелета людей разного возраста. Целью работы было разработать вычислительный фантом скелета годовалого ребенка для внутренней дозиметрии ККМ от инкорпорированных бета-излучателей. С помощью оригинальной методики SPSD (stochastic parametric skeletal dosimetry) создавали трехмерные модели участков скелета в воксельной форме. Участки скелета с активным гемопоэзом моделировали как набор фантомов простой геометрической формы. Распределение ККМ в скелете, а также параметры фантомов оценивали на основе опубликованных результатов измерений реальных костей детей в возрасте от 9 месяцев до 2 лет. Для годовалого ребенка был сгенерирован вычислительный фантом, состоящий из 39 сегментов. Он имитирует структуру костной ткани и положение ККМ, а также популяционную вариабельность параметров микроструктуры и размеров скелета.</p></abstract><trans-abstract xml:lang="en"><p>For residents of territories along the Techa River that was contaminated with radioactive substances in the 1950s, bone-seeking beta-emitting 89,90Sr were the main source of internal exposure of active (red ) bone marrow (AM). The dose of these radionuclides conditions the severity of leukemia risk for them. Improvement of the methods of internal AM dosimetry is an important task. Computational 3D phantoms of the skeleton sites are a component of the solution for this task. Simulation of radiation transfer in a heterogeneous bone model allows estimating the dose conversion factors from radionuclide activity to AM dose. This manuscript continues the series of papers covering the development of a set of computational phantoms of a reference human being of different age. The objective of the study was to develop a computational phantom of a one-year-old child skeleton for internal AM dosimetry (exposure due to incorporated beta emitters). Using the original SPSD (stochastic parametric skeletal dosimetry) model, we develop voxel 3D models of skeletal sites. Skeleton sites with active hematopoiesis were modeled as a set of phantoms of simple geometries. Distribution of AM throughout the skeleton and parameters of the phantoms were assessed on the basis of the published results of measurement done in real bones of children aged 9 months to 2 years. The generated computational phantom of a one-year-old child consisted of 39 segments. It simulates the structure of the bone tissue, location of AM, and population variability of the skeleton microstructure and size parameters.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>трабекулярная кость</kwd><kwd>кортикальная кость</kwd><kwd>дозиметрия костного мозга</kwd><kwd>вычислительные фантомы</kwd><kwd>Sr</kwd></kwd-group><kwd-group xml:lang="en"><kwd>trabecular bone</kwd><kwd>cortical bone</kwd><kwd>bone marrow dosimetry</kwd><kwd>computational phantoms</kwd><kwd>Sr</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа выполнена в рамках реализации Федеральной целевой программы «Федеральная целевая программа «Обеспечение ядерной и радиационной безопасности на 2016–2020 годы и на период до 2035 года» и при финансовой поддержке Федерального медико-биологического агентства России.</funding-statement><funding-statement xml:lang="en">The work was part of the Federal Target Program "Ensuring Nuclear and Radiation Safety for 2016-2020 and up to 2035", with financial support from the Federal Medical Biological Agency of Russia.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Degteva MO, Shagina NB, Vorobiova MI, Shishkina EA, Tolstykh EI, Akleyev AV. 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