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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.2024.032</article-id><article-id custom-type="elpub" pub-id-type="custom">mes-36</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 десятилетнего ребенка от инкорпорированных бета-излучателей</article-title><trans-title-group xml:lang="en"><trans-title>Computational phantom for the dosimetry of the red bone marrow of a 10-year-old child 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>Vorovskogo, 68-а, 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>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>ул. Воровского, д. 68-а, г. Челябинск, 454141</p></bio><bio xml:lang="en"><p>Vorovskogo, 68-а, Chelyabinsk, 454141</p></bio><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>ул. Воровского, д. 68-а, г. Челябинск, 454141</p></bio><bio xml:lang="en"><p>Vorovskogo, 68-а, Chelyabinsk, 454141</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Уральский научно-практический центр радиационной медицины Федерального медико-биологического агентства России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Urals Research Center for Radiation Medicine of the Federal Medical-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 России; Челябинский государственный университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Urals Research Center for Radiation Medicine of the Federal Medical-Biological Agency; Chelyabinsk State University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>22</day><month>10</month><year>2024</year></pub-date><volume>26</volume><issue>2</issue><fpage>38</fpage><lpage>48</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Шарагин П.А., Толстых Е.И., Шишкина Е.А., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Шарагин П.А., Толстых Е.И., Шишкина Е.А.</copyright-holder><copyright-holder xml:lang="en">Sharagin P.A., Tolstykh E.I., Shishkina E.A.</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/36">https://www.extrememedicine.ru/jour/article/view/36</self-uri><abstract><p>Остеотропные радионуклиды, в частности 89,90Sr, могут попадать в окружающую среду при различных техногенных радиационных инцидентах, оттуда с пищей и водой они поступают в организм человека, что приводит к внутреннему облучению красного костного мозга (ККМ). Эти элементы были в составе радиоактивных сбросов в реку Теча в 1950-е гг., и являются основным источником облучения ККМ жителей прибрежных территорий. Оценка доз на ККМ опирается на дозиметрическое моделирование, которое включает разработку трехмерных вычислительных фантомов частей скелета. На основе имитации переноса энергии в этих фантомах оценивают коэффициенты перехода от активности радионуклида в кости к мощности дозы в ККМ. Целью исследования было разработать вычислительный фантом скелета десятилетнего ребенка для оценки доз на ККМ от инкорпорированных бета-излучателей. Для создания фантомов использовали оригинальный SPSD (от англ. stochastic parametric skeletal dosimetry) подход. Согласно данной методике, участки скелета, содержащие ККМ, разбивались на меньшие сегменты простой геометрической формы, для которых генерировались воксельные фантомы. Параметры для генерации фантомов основаны на опубликованных данных, они включали: линейные размеры костей, толщину кортикального слоя, характеристики костной микроархитектуры, плотность и химический состав моделируемых сред и долю содержания ККМ в костях. Сгенерированный вычислительный фантом участков скелета с активным гемопоэзом десятилетнего ребенка состоит из 38 фантомов-сегментов. Линейные размеры сегментов были 3–88 мм, толщина кортикального слоя — 0,2–2,2 мм.</p></abstract><trans-abstract xml:lang="en"><p>Bone-seeking radionuclides, in particular 89,90Sr, could get into the environment in the course of various anthropogenic radiation incidents. From there they enter a human body with food and water. This leads to red bone marrow (RBM) internal exposure. These elements were present in the composition of radioactive releases into the Techa River in 1950s, and are the major source of RBM exposure for the residents of the riverside settlements. RBM dose estimation relies on dosimetric modeling which comprises the development of 3D computational phantoms of the skeleton parts. By imitating the energy transfer in these phantoms, the conversion coefficients from the radionuclide activity in a bone to the dose rate in RBM are evaluated. The given study is yet another step in the research aimed at the elaboration of a set of computational phantoms of the skeleton for people of various age. The objective is to develop a computational phantom of a skeleton of a 10-year-old child to estimate dose to RBM due to incorporated beta-emitters. Original SPSD (stochastic parametric skeletal dosimetry) approach was used to create the phantoms. According to this method the skeleton sites containing RBM were divided into smaller segment of simple geometric shape, for which voxel phantoms were generated. The parameters for phantom generation were based on published research data. They included^ linear dimensions of bones, thickness of the cortical layer, characteristics/properties of the bone micro-architecture, density and chemical composition of the modelled media and the percentage of RBM content in bones. Generated computational phantom of the skeleton sites with active hematopoiesis of a 10-year-old child consists of 38 phantom-segments. Linear dimensions of the segments were from 3 to 88 mm, cortical layer thickness: 0.2–2.2 mm.</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 study was performed within the framework of the Federal Target Program "Ensuring Nuclear and Radiation Safety for 2016–2020 and the Period up to 2035" and supported by 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">Sources and effects of ionizing radiation. 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