Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: International Workshop on Photogrammetric and Computer Vision Techniques for Video Surveillance, Biometrics and Biomedicine, PSBB 2021
Год издания: 2021
Ключевые слова: biomechanics, con-trex, correlation analysis, numerical data modeling, rehabilitation, robotic mechanotherapy, shoulder joint, visualization
Аннотация: The research results in the field of computer visualization of the shoulder joint biomechanics are presented. The possibilities of using biomechanical robotic mechanotherapy on the CON-TREX complex in the rehabilitation treatment of patients after arthroscopic shoulder surgery are shown. The possibilities of additional visualization of magnetic resonance imaging (MRI) data using spectral decomposition methods (Shearlet transform and contrasting with color coding) are studied. Experiments with the use of the proposed diagnostic technique are described. The relationship between the MRI data and CON-TREX protocols in planning and implementation of the rehabilitation procedures is demonstrated. The technique which allows to improve the quality and availability of the MRI data in the study of the shoulder joint biomechanics during restorative treatment is described. © Authors 2021. CC BY 4.0 License.
Издание
Журнал: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Выпуск журнала: Vol. 54, Is. 2/W1
Номера страниц: 91-97
ISSN журнала: 16821750
Издатель: International Society for Photogrammetry and Remote Sensing
Персоны
- Kabaev E.M. (Federal State-Financed Institution, Federal Siberian Research Clinical Centre, The Federal Medical Biological Agency, 26 Kolomenskaya st, Krasnoyarsk, 660037, Russian Federation)
- Hamad Yu.A. (Institute of Space and Information Technologies, Siberian Federal University, 79 Svobodny st, Krasnoyarsk, 660041, Russian Federation)
- Simonov K.V. (Institute of Computational Modelling, The SB, RAS, 50/44 Akademgorodok, Krasnoyarsk, 660036, Russian Federation)
- Zotin A.G. (Institute of Computer Science and Telecommunications, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy ave, Krasnoyarsk, 660037, Russian Federation)
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