METHODS OF INTERPRETATION OF DATA FROM ISOKINETIC TESTS AND MRI STUDIES DURING REHABILITATION OF PATIENTS AFTER RECONSTRUCTIVE SHOULDER JOINT SURGERY : научное издание
Библиографическое описание:METHODS OF INTERPRETATION OF DATA FROM ISOKINETIC TESTS AND MRI STUDIES DURING REHABILITATION OF PATIENTS AFTER RECONSTRUCTIVE SHOULDER JOINT SURGERY : научное издание / E. M. Kabaev, Y. A. Hamad, K. V. Simonov, A. G. Zotin. - Текст : непосредственный // The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. - 2021. - Т. XLIV-2/W1-2021, № . - P. 91-97. - ISSN 1682-1750. - ISSN 2194-9034, DOI 10.5194/isprs-archives-xliv-2-w1-2021-91-2021.
Аннотация:<jats:p>Abstract. 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. </jats:p>
Издательство:International Society of Photogrammetry and Remote Sensing (ISPRS), Berlin
Источник:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Выпуск:Т. XLIV-2/W1-2021
Номера страниц:91-97
Держатель оригинала документа:Federal State-Financed Institution Federal Siberian Research Clinical Centre, the Federal Medical Biological Agency, 26 Kolomenskaya st., 660037, Krasnoyarsk, Russian Federation, Institute of Computational Modelling of the SB RAS, 50/44 Akademgorodok, Krasnoyarsk 660036, Russian Federation, Institute of Computer Science and Telecommunications, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy ave., Krasnoyarsk, 660037, Russian Federation, Institute of Space and Information Technologies, Siberian Federal University, 79 Svobodny st., Krasnoyarsk 660041, Russian Federation
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