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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">ssmu</journal-id><journal-title-group><journal-title xml:lang="ru">Бюллетень сибирской медицины</journal-title><trans-title-group xml:lang="en"><trans-title>Bulletin of Siberian Medicine</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1682-0363</issn><issn pub-type="epub">1819-3684</issn><publisher><publisher-name>Siberian State Medical University, the Ministry of Healthcare of the Russian Federation</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.20538/1682-0363-2021-2-191-201</article-id><article-id custom-type="elpub" pub-id-type="custom">ssmu-4397</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>ОБЗОРЫ И ЛЕКЦИИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>REVIEW AND LECTURES</subject></subj-group></article-categories><title-group><article-title>Диффузионные данные магнитно-резонансной томографии: разработка методологии и инструментов использования в диагностике и лечении заболеваний головного мозга</article-title><trans-title-group xml:lang="en"><trans-title>Diffusion magnetic resonance imaging data: development of methods and tools for diagnosis and treatment of brain diseases</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7725-5090</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Уразова</surname><given-names>К. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Urazova</surname><given-names>K. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p> инженер-физик, отделение радиохирургии и радиотерапии; аспирант, кафедра физики ускорителей и радиационной медицины</p><p>Россия, 125047, г. Москва, 4-я Тверская-Ямская ул., 16 </p><p>Россия, 119991, г. Москва, Ленинские горы, 1/2 </p></bio><bio xml:lang="en"><p>16, 4th Tverskaya-Yamskaya Str., Moscow, 125047, Russian Federation</p><p>1, Leninskie Gory, Moscow, 119991, Russian Federation</p></bio><email xlink:type="simple">kurazova@nsi.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4386-4223</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Горлачёв</surname><given-names>Г. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Gorlachev</surname><given-names>G. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p> канд. физ.-мат. наук, ст. науч. сотрудник, группа клинической дозиметрии</p><p>Россия, 115478, г. Москва, Каширское шоссе, 24 </p></bio><bio xml:lang="en"><p>24, Kashirskoye Highway, Moscow, 115478, Russian Federation</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5250-046X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Черняев</surname><given-names>А. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Chernyaev</surname><given-names>A. P.</given-names></name></name-alternatives><bio xml:lang="ru"><p> д-р физ.-мат. наук, профессор, зав. кафедрой физики ускорителей и радиационной медицины </p><p>Россия, 119991, г. Москва, Ленинские горы, 1/2</p></bio><bio xml:lang="en"><p>1, Leninskie Gory, Moscow, 119991, Russian Federation</p></bio><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0976-4547</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Голанов</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Golanov</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>  д-р мед. наук, профессор, чл.-корр. РАН, зав. отделением радиохирургии и радиотерапии</p><p>Россия, 125047, г. Москва, 4-я Тверская-Ямская ул., 16 </p></bio><bio xml:lang="en"><p>16, 4th Tverskaya-Yamskaya Str., Moscow, 125047, Russian Federation</p></bio><xref ref-type="aff" rid="aff-4"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Научный медицинский исследовательский центр (НМИЦ) нейрохирургии имени академика Н.Н. Бурденко;&#13;
Московский государственный университет (МГУ) имени М.В. Ломоносова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>N.N. Burdenko National Scientific and Practical Center for Neurosurgery;&#13;
M.V. Lomonosov Moscow State University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Научный медицинский исследовательский центр (НМИЦ) онкологии имени Н.Н. Блохина</institution><country>Россия</country></aff><aff xml:lang="en"><institution>N.N. Blokhin National Medical Research Center of Oncology</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Московский государственный университет (МГУ) имени М.В. Ломоносова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>M.V. Lomonosov Moscow State University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-4"><aff xml:lang="ru"><institution>Научный медицинский исследовательский центр (НМИЦ) нейрохирургии имени академика Н.Н. Бурденко</institution><country>Россия</country></aff><aff xml:lang="en"><institution>N.N. Burdenko National Scientific and Practical Center for Neurosurgery</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>18</day><month>07</month><year>2021</year></pub-date><volume>20</volume><issue>2</issue><fpage>191</fpage><lpage>201</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Уразова К.А., Горлачёв Г.Е., Черняев А.П., Голанов А.В., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Уразова К.А., Горлачёв Г.Е., Черняев А.П., Голанов А.В.</copyright-holder><copyright-holder xml:lang="en">Urazova K.A., Gorlachev G.E., Chernyaev A.P., Golanov A.V.</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://bulletin.ssmu.ru/jour/article/view/4397">https://bulletin.ssmu.ru/jour/article/view/4397</self-uri><abstract><p> Использование различных карт количественных характеристик диффузии несет в себе большой потенциал для медицинской  диагностики и терапии патологии головного мозга, так как  позволяет классифицировать опухоли, определять степень их  злокачественности, дифференцировать различные  морфологические структуры опухолевых и неопухолевых  патологических процессов (таких как строма опухоли, зоны некроза, кисты, различные виды отека и т.д.), прогнозировать  течение и исход заболеваний, в частности клинический ответ на проведенное лечение. На основе диффузионно-взвешенной томографии возможна реализация трехмерной реконструкции волокон белого вещества головного мозга, называемая  трактографией. Помимо уникальной возможности  визуализировать расположение трактов относительно  интракраниальных патологических изменений, данная  технология позволяет строить и анализировать комплексные карты сложных сетей связей в головном мозге (коннектомика).Обзор посвящен обсуждению физико-технической концепции диффузионно-взвешенной томографии, ключевых направлений применения в случае опухолевых и неопухолевых процессов, а также проблем, затрудняющих процесс корректной интерпретации результатов. Так как в настоящий момент остается актуальной задача применения программного  обеспечения для работы с диффузионными показателями магнитно-резонансной томографии, то в представленном  обзоре показан собственный опыт разработки приложения в рамках проекта по созданию эффективных методик  интерпретации диффузионных данных и построению трактов белого вещества головного мозга. </p></abstract><trans-abstract xml:lang="en"><p> The use of quantitative mapping of diffusion characteristics carries great potential for diagnosis and therapy of brain diseases, since it potentially allows to classify tumors, determine the degree of their malignancy, differentiate various morphological structures of tumor and non-tumor pathologies (such as  tumor stroma, necrotic zones, cysts, various types of edema, etc.), and predict the course and outcome of diseases, in particular, a clinical response to treatment. Based on diffusion weighted magnetic resonance imaging (MRI), it is possible to perform 3D modeling of the white matter pathways of the brain, which is called tractography. In addition to a unique ability to visualize the location of tracts in relation to intracranial pathologies, this technology allows to build and analyze complex maps of communication networks in the brain (connectomics).The review is devoted to the discussion of the physical and technical concept of diffusion weighted MRI, the key ways of its application in tumor and non-tumor processes, and problems that complicate correct interpretation of results. Since the problem of developing software for diffusion MRI data remains relevant, this review presents our own experience in developing an application as part of a project on creating effective methods for processing diffusion MRI data and modeling white matter tracts. </p></trans-abstract><kwd-group xml:lang="ru"><kwd>магнитно-резонансная томография</kwd><kwd>диффузионно-взвешенная томография</kwd><kwd>трактография</kwd><kwd>головной мозг</kwd><kwd>нейронауки</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследование выполнено при финансовой поддержке Российского фонда фундаментальных исследований (проект № 19-32-90198).</funding-statement><funding-statement xml:lang="en">The study was supported by the Russian Foundation for Basic Research (project No. 19-32- 90198).</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">Einstein A. 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