dtЦифровая трансформацияDigital Transformation2522-96132524-2822Educational Establishment “Belarusian State University of Informatics and Radioelectronics”10.35596/2522-9613-2022-28-2-61-69dt-679Research ArticleТЕХНИЧЕСКИЕ НАУКИTECHNICAL SCIENCESАнтропоморфные модели мозга на основе изображений магнитно-резонансной томографииAnthropomorphic Brain Models Based on Magnetic Resonance ImagingКабачекВ. В.KabachekV. V.

Кабачек Вячеслав Валерьевич, аспирант кафедры электронной техники и технологии

220013, г. Минск, ул. П. Бровки, 6

Тел.:+375-17-293-88-41

Kabachek Vyacheslav Valer'evich, Postgraduate at the Department of Electronic Engineering and Technology

220103, Minsk, Brovki St, 6

Tel.: +375-17-293-88-41

zex96@me.comДавыдоваН. С.DavydovaN. S.

К. т. н., доцент, доцент кафедры инфокоммуникационных технологий

220013, г. Минск, ул. П. Бровки, 6

Тел.:+375-17-293-88-41

Cand. of Sci., Associate Professor, Associate Professor at the Department of Infocommunication Technologies

220103, Minsk, Brovki St, 6

Tel.: +375-17-293-88-41

МеженнаяМ. М.MezhennayaM. M.

К. т. н., доцент, доцент кафедры инженерной психологии и эргономики

220013, г. Минск, ул. П. Бровки, 6

Тел.:+375-17-293-88-41

Cand. of Sci., Associate Professor, Associate Professor at the Department of Engineering Psychology and Ergonomics

220103, Minsk, Brovki St, 6

Tel.: +375-17-293-88-41

ДавыдовМ. В.DavydovM. V.

К. т. н., доцент, первый проректор

220013, г. Минск, ул. П. Бровки, 6

Тел.:+375-17-293-88-41

Cand. of Sci., Associate Professor, First Vice-Rector

220103, Minsk, Brovki St, 6

Tel.: +375-17-293-88-41

Белорусский государственный университет информатики и радиоэлектроникиBelarusian State University of Informatics and Radioelectronics2022020920222826169Copyright © Кабачек В.В., Давыдова Н.С., Меженная М.М., Давыдов М.В., 20222022Кабачек В.В., Давыдова Н.С., Меженная М.М., Давыдов М.В.Kabachek V.V., Davydova N.S., Mezhennaya M.M., Davydov M.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://dt.bsuir.by/jour/article/view/679

Статья посвящена созданию метода генерирования антропоморфных моделей мозга на основе изображений магнитно-резонансной томографии (МPТ). Подбор амплитуды магнитного поля для транскраниальной магнитной стимуляции (ТМС) осуществляется за счет моделировании с использованием метода конечных элементов (FEM). FEM-модели графически демонстрируют информацию о распределении магнитного поля и, следовательно, о возникающих нейрофизиологических и поведенческих изменениях, основанных на дозе ТМС, удельном сопротивлении тканей головы и ее анатомии. Таким образом, данные модели являются неотъемлемым инструментом, используемым для проектирования, настройки и программирования устройств ТМС, а также для исследования таких параметров как сила и напряженность магнитного поля. Отличительным аспектом данной работы является качество получаемых моделей головы. При создании вычисляемых FEM-моделей использовался снимок МРТ головы для проведения сегментации в среде FreeSurfer. Далее производились преобразования изображений в среде Matlab. После была создана сборка модели головы в COMSOL Multiphysics и проведено моделирование ТМС. Результатом преобразований является модель головы, выполненная в виде объемной сетки, которая пригодна для проведения моделирования. Полученные данные можно использовать для персонализации метода ТМС в медицине.

The article is devoted to the creation of a method for generating anthropomorphic brain models based on magnetic resonance imaging. The selection of the magnetic field amplitude for transcranial magnetic stimulation (TMS) is carried out through modeling using the finite element method (FEM). These FEM models graphically demonstrate information on the distribution of the magnetic field and, therefore, on the occurring neurophysiological and behavioral changes based on the dose of the TMS, the specific resistance of the head tissue and its anatomy. Thus, these models are an integral tool used to design, configure, and program TMS devices, as well as to study parameters such as magnetic field strength and tension. A distinctive aspect of this work is the quality of the resulting head models. When creating the calculated FEM models, an MRI image of the head was used to perform segmentation in the FreeSurfer environment. Next, the image was converted in the Matlab environment. After the assembly of the head model in COMSOL Multiphysics, the TMS was simulated. The results of the transformations is a head model made in the form of a three-dimensional grid, which is suitable for modeling. The obtained data can be used to personalize the TMS method in medicine.

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The authors declare that there are no conflicts of interest present.