ANATOMICAL ATLASES AND THE USE OF 3D MODELING IN MEDICINE

Medicine has always been and will be a topical area for research, because the lives of other people depend on the knowledge of anatomy. Computer science and 3D modeling are also actively developing and affecting many different areas, improving, automating and visualizing many processes. Hence, it is not surprising that by combining these two areas, anatomical atlases have become a popular development in the field of medicine. Thanks to them, the perception of the internal structure of a person has become more con venient and visual, new opportunities have appeared for the study, study and diagnosis of pathologies. The use of information technologies is promising, but it also has significant drawbacks and inaccuracies in the sense that these are fairly new technologies that are only being developed and are closely related to traditional methods and compromises to obtain high-quality anatomical 3D atlases. In this paper, current trends in the development of the impact on education, visualization methods and the construction of anatomical atlases, as well as their improvement, are considered. Extremely great attention is paid to readymade anatomical atlases, their capabilities, goals and benefits for medicine. The review brings all this knowledge over the past few years together through the analysis of more than 30 articles from the Scopus database, which have been divided, into these subtopics. On their basis, information was collected and problems and positive aspects of using anatomical atlases were identified. Anatomical atlases make a huge contribution to medicine and without them it would not be possible to conduct most studies and simulations, determine pathology by comparison and visualize the structure of anatomy. New construction methods and technologies make it possible to create high-quality copies of various human systems and individual organs in a short period of time and are partially automated From year to year, anatomical atlases help to educate new qualified medical professionals, thereby increasing the number of successful operations, saved lives and cured people.

Авторы
Сборник материалов конференции
Издательство
Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования "Московский государственный университет пищевых производств"
Язык
Английский
Страницы
201-220
Статус
Опубликовано
Год
2021
Организации
  • 1 Peoples' Friendship University of Russia (RUDN University)
Ключевые слова
healthcare; modern technologies; artificial intelligence; diagnosing
Дата создания
19.07.2022
Дата изменения
19.07.2022
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/92694/
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Shungarov I.
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