=Paper= {{Paper |id=Vol-2727/paper5 |storemode=property |title=Visualization and Analysis of the Shoulder Joint Biomechanics in Postoperative Rehabilitation |pdfUrl=https://ceur-ws.org/Vol-2727/paper5.pdf |volume=Vol-2727 |authors=Evgeny Kabaev,Yousif Hamad,Konstantin Simonov,Aleksandr Zotin |dblpUrl=https://dblp.org/rec/conf/sibdata/KabaevHSZ20 }} ==Visualization and Analysis of the Shoulder Joint Biomechanics in Postoperative Rehabilitation== https://ceur-ws.org/Vol-2727/paper5.pdf
                                                                                            34


         Visualization and Analysis of the Shoulder Joint
          Biomechanics in Postoperative Rehabilitation*

          Evgeny Kabaev1[0000-0002-9564-812X], Yousif Hamad2[0000-0003-1629-7219],
       Konstantin Simonov3[0000-0002-6829-3087] аnd Aleksandr Zotin4[0000-0001-9954-9826]
               1 Federal Siberian Scientific and Clinical Center FMBA of Russia,

                       24 Kolomenskaya st., 660037, Krasnoyarsk, Russia
           2 Siberian Federal University, 79 Svobodny st., Krasnoyarsk 660041, Russia
                  3 Institute of Computational Modelling of the Siberian Branch

                              of the Russian Academy of Sciences,
                      50/44 Akademgorodok, Krasnoyarsk, 660036, Russia
                4 Reshetnev Siberian State University of Science and Technology,

                   31 Krasnoyarsky Rabochy pr., 660037, Krasnoyarsk, Russia
                                simonovkv@icm.krasn.ru



         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 training and
         diagnostic complex with biofeedback 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 implementing rehabilitation procedures is shown. The technique,
         which allows us to improve the quality and availability of MRI data in the study
         of the shoulder joint biomechanics during restorative treatment is described.

         Keywords: Shoulder Joint, MRI Image, Robotic Mechanotherapy,
         CON-TREX, Biomechanics, Rehabilitation, Imaging, Image Analysis.


1        Introduction

The study of biomechanics of the musculoskeletal system is a fundamental scientific
task in modern sports and rehabilitation medicine. The study of mathematical models
of joint movements have created the prerequisites for research and development in
this subject area [1-2].
   It should be noted that injuries to the structures of the shoulder joint are quite
common and account for 16 to 55% of all injuries of large joints. Changes in

*   Copyright c 2020 for this paper by its authors. Use permitted under Creative Commons
     License Attribution 4.0 International (CC BY 4.0).
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arthrokinematics with injuries of the shoulder joint depend on the nature and severity
of the integrity changes of its structures. Premorbid conditions preceding their
damage are actively modeled and investigated.
   With the active development of minimally invasive surgical techniques, such as
arthroscopy, a constant assessment of the effectiveness of their application and quality
examination of the performed reconstructive interventions are required.


2      Methods of Studying Biomechanics

The existing anatomical and biomechanical concepts serve as the basis for clinical
assessment methods, which allows the development of grounded and scientifically
proved effective technologies and treatment programs for various dysfunctions of this
joint [3-4]. Traditionally, biomechanics is focused on modeling aspects of the
systemic level of the human body, for example, in the study of the musculoskeletal
system. The study of mathematical models of movement has created the preconditions
for a large number of scientific investigations and developments [5-7].
   There are two main groups of diagnostic methods for studying biomechanics in
medicine – kinesiological (muscle testing, dynamometry, myography) and radiation
(X-ray, MRI and CT). The use of kinesiological and orthopedic testing with
additional methods of radiation diagnostics has long been an integral part of any
treatment process [8-9].
   In the last 15 years video analysis of movements and virtual reality technologies
have actively been used in biomechanics, allowing specialists to obtain a large
amount of data on movement patterns and functional state of any segment. The study
of locomotion through video analysis of movements have led to a number of new
concepts for studying biomechanics of the musculoskeletal system (for example, the
“concept of a floating skeleton”) as well as to the emergence of a new direction –
sanomechanics, which describes the mechanisms of self-healing in restoring
previously disturbed movement [10-12].
   It has also become possible to perform the 3D control of the effectiveness and
individual selection of various types of exercises in the rehabilitation of patients
without disturbing the kinematics of the joint [13-14]. This direction is actively
complemented by the research of physiologists and kinesiologists, its results revealing
many aspects of the functioning of muscle tissues in detail [15-16].
   When studying the shoulder joint biomechanics, the interaction of its dynamic and
static components is taken into account, which ensures its stability and functionality.
The static components include the articular surfaces of the bones, negative intra-
articular pressure, capsule-ligamentous apparatus of the joint as well as articular lip of
the scapula. Muscles of the rotator cuff and other groups which provide its functional
activity are considered to be dynamic [17].
   Modern equipment for X-ray, MRI and CT studies is highly adaptable and
accurate. However, sometimes these techniques can give false positive results about
changes in the tissue structure, which can affect the diagnosis conclusion of a
                                                                                   36


specialist. In this case, the goal of experimental studies is to minimize errors in
diagnostics, increase accuracy and make interpretation of the results easier [18-20].
   Experiments on the use of robotic mechanotherapy in postoperative rehabilitation
of patients with shoulder joint injuries were carried out, where use was made of the
kinesiological method of diagnostics during exercises on a training complex CON-
TREX with biofeedback, supplemented by the method of radiation diagnostics i.e.
magnetic resonance imaging [21].
   In studying the experiment reports of the movements dynamics generated by the
biofeedback system of the CON-TREX complex, visual data were represented using
spectral decomposition methods (shearlet transformation technique and contrasting
with color coding), which made it possible to increase the information content in
relation to the arthrokinematics of the dynamic component of the shoulder joint [22].
   The indicators of the CON-TREX protocols in dynamics reports are the following:
power (W); torque (Nm); general work (J). An example of the data visualization in
the reports on dynamics is shown in Fig. 1.




              Fig. 1. Dynamic profiles of motion in the CON-TREX complex.

In order to conduct the study of shoulder joint arthrokinematics, methods of radiation
diagnostics, radiography, CT or MRI of the joint with additional visualization are
proposed for the static component, and dynamometry and kinesiological tests with the
subsequent modeling of the data reported for the CON-TREX complex are suggested
for the dynamic component .


3      Features of Visualization of MRI Images

In order to increase the information content of MRI images at the first stage the
selection of typical model images from a specialized dataset is performed. Then, they
are analyzed using the visualization technique described in [23-24].
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   The visualization technique is based on the algorithms of shearlet transformation
and contrasting with color coding of the image [23-24], which as shown by
experimental studies allows one to more clearly diagnose the area of acromio-
tubercular conflict on the head in the humerus, as well as inflammation of the
periarticular bursae in a patient. Better visualization with use of this technique in the
case of a complete rupture of the muscle is also observed [25].
   Moreover, as is shown by the most illustrative examples, this technique was
applied on patients of the test group with the following diagnoses: rupture of the
tendon of the supraspinatus muscle of the right shoulder joint, subacromial
impingement syndrome, arthrosis of the acromioclavicular joint.
   The analysis of a series of the MRI images of patients was performed. In particular,
in a series of the images, the clarity of visualization of the supraspinatus tendon injury
with the presence of inflammation near the lesion is improved due to the use of
shearlet transform algorithms and color coding contrast. An example of the
application of the proposed technique for visualizing MRI images is shown in Fig. 2.




Fig. 2. An example of visualization of the MRI image processing by the shearlet transform and
color coding.

The use of the technique in combination for assessing the dynamic and static
components allows one to obtain the most complete picture of the functional model of
the shoulder joint at any time, as well as quantitative assessments of the quality of
rehabilitation for patients after reconstructive operations.


4      Results of Experimental Studies

The experimental study was carried out on the basis of the data of the FSSCC FMBA
of Russia (Krasnoyarsk). An open, prospective, randomized study was carried out in
two parallel groups with the formation of observation groups and the comparison was
made between the clinical studies of individuals in the early and late recovery periods
after surgical treatment of shoulder joint injuries using robotic mechanotherapy on the
CON-TREX complex with biofeedback.
   The study involved men and women aged 18–55 years in the early and late
postoperative periods after arthroscopic surgical reconstructive interventions on the
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shoulder joint, performed for injuries of its structure. For the first group (50 patients),
an additional course of robotic mechanotherapy was offered. For the second group (50
patients) standard rehabilitation procedures were offered.
   An additional method of treatment for the first observation group included
biomechanical robotic mechanotherapy of the affected shoulder joint: the type of load
was passive (CPM – continuous passive mobilization) and isokinetic – the ballistic
mode. At the same time, one-hour procedures were performed daily during the first 2
weeks and then, 3 times a week (for a course of 20 procedures).
   In particular, in the framework of the experimental studies to substantiate the
proposed method of rehabilitation, the images were studied in dynamics before and
after the surgery in a patient with damage to the articular lip of the scapula in the first
study group. The reports on dynamics were obtained from the CON-TREX complex
after the patient had completed the daily rehabilitation exercise cycles.
   The first series of images shows the patient before the operation: destruction of the
scapula lip with partial damage to the supraspinatus tendon, impaired stability of the
joint with a high position of the humerus head is visualized (Fig. 3). Visualization
with color coding makes it possible to more clearly identify bright areas with the
presence of local tissue inflammation after the injury, an abnormality of the
homogeneity and density of the tissues of the articular lip in the damaged area.




                 Fig. 3. An example of visualization of MRI before surgery.

The second series of images (Fig. 4) shows the state of the object of interest for the
same patient 2 months after the reconstructive surgery. Improved visualization in
accordance with the methodology allows one to draw conclusions on the effect of the
operation itself and on the adaptation of the body to its consequences.
   Visualization and color coding in yellow and red clearly indicate the localization of
inflammation in the fascia and periarticular bursae of the joint which is associated
with reparative processes in the area of the surgical access and mobilization of the
soft tissue sliding using the proposed method of rehabilitation (CON-TREX
simulator, massage and therapeutic physical culture), which characterizes the
normalization of metabolic processes in them as well as the effectiveness of the
specified method.
   The homogeneity and density in the tissue structure after the reconstruction is
satisfactory with small areas of cicatricial reconstruction. Stabilization of the glenoid
                                                                                      39


lip after the surgical treatment, a more correct ratio between the articular surfaces of
the scapula and humerus with the correct placement of implants (screws) in the
articular process, characterizes a favorable course of the postoperative remodeling of
the joint structure [25-27] (Fig. 4).
   Visualization of MRI data based on the Shearlet transform and color coding
technique reflects the essence of reparative processes in the joint tissues and degree of
restoration of their integrity and functionality. At the same time, it is possible to
implement the solution of diagnostic problems and analysis of typical model images
including dynamics.




              Fig. 4. An example of visualization of MRI images after surgery.

Typical experiments were performed using the image analysis technique, which was
successfully applied to the data of the patients group. We managed to improve the
quality of diagnostics of pathology elements for the patients undergoing rehabilitation
after the reconstructive surgeries on the shoulder joint. It was done by using the
proposed method, which more accurately displays the structure, density, integrity and
homogeneity of the tissues as well as their functional activity according to the
dynamic profiles and reports on the dynamics.
   The absence of the tissue destruction areas eliminated by surgical methods as well
as the absence of repeated damage during rehabilitation characterize the adequacy of
loads in robotic therapy and physiotherapy exercises. In turn, the simulated data from
the CON-TREX dynamics reports characterize the degree of functional adaptation to
increasing loads during rehabilitation.
   The obtained data reflect the state of all the components of a single kinematic
model of the joint at a specific point in time in the rehabilitation process. The
proposed method of rehabilitation and the applied technique significantly improve the
quality of current diagnostics for shoulder joint injuries which opens up prospects for
their application in practical medicine.


5      Conclusion

New data were obtained on the effectiveness of using a course of biomechanical
robotic mechanotherapy with biofeedback in the rehabilitation of patients after
                                                                                           40


surgical treatment of shoulder injuries. Additionally, the features of its influence on
the dynamics of clinical manifestations of the pathological process, as well as on the
rate and volume of functional recovery of the affected shoulder joint were studied.
   The use of the proposed method of rehabilitation of patients in the early and late
recovery period of postoperative rehabilitation through mechanotherapy with an
additional study of the features of biomechanics and physiology of joints in the
conditions of rapidly developing areas of reconstructive medicine was experimentally
substantiated.
   The use of the MRI imaging technique makes it possible to more accurately
analyze homogeneity, structure, density and integrity as well as functional state of the
joint tissues, which is important in the process of studying postoperative remodeling.
Moreover, it becomes possible to present these data to specialists in a more accessible
and understandable form for analysis.
   Correspondence of the obtained data to a specific stage of restoration of the
integrity and functionality of joint tissues after injury and surgical treatment makes it
possible to create atlases of kinematic models. In turn, the data of such atlases will
certainly find a wide application in the examination of the restoration of patients'
ability to work.
   The introduction of this method of rehabilitation with the elements of a step-by-
step examination into practice will significantly accelerate the development of new
effective programs for the therapy and rehabilitation of diseases and injuries of the
shoulder joint as well as improve treatment results.


References
 1. Knudson, D.: Fundamentals of Biomechanics. 2nd edn. Springer (2007)
 2. Gorniak, G.: Upper and Lower Extremity Biomechanics. Biomechanics for health sciences
    – A study guide part 1. 1st edn. Gerard Gorniak & bookboon.com (2016)
 3. Donatelli, R., Wooden, M.: Orthopaedic physical therapy. 4th edn. Churchill Livingstone
    (2010)
 4. Kommu, S.: Reabilitation robotics. I-tech Education and Publishing (2007)
 5. Oomens, C., Brekelmans, M., Baaijens, F.: Biomechanics, Concepts and computation.
    Cambridge university press (2009)
 6. Peterson, D., Brozino, J.: Biomechanics: Principles and practices. CRC Press (2005)
 7. Bartlett, R.: Sports biomechanics, Reducing injury and improving performance. Spon
    (1999)
 8. Dvir, Z.: Isokinetics: muscule testing, interpretation and clinical applications. Churchil
    Livingstone, Edinburgh (2004)
 9. Skirven, T., Osterman, A., Fedorczyk, J., Amadio, P.: Reabilitation of the hand and upper
    extremity. 6th edn. Mosby (2011)
10. Ip, D.: Orthopedic Rehabilitation Assessment and Enablement. Gait Analysis, pp. 191–
    216. Springer (2007)
11. Pitkin, M.: Biomechanics for Life, Introduction to Sano mechanics. About Forces and
    Moments in Locomotion, pp. 93–121. Springer (2011)
12. Ip, D.: Casebook of Orthopedic Rehabilitation Including Virtual Reality. Real Life
    Applications. pp. 275–302. Springer (2008)
                                                                                           41


13. Taylor, N.F., Dodd, K.J., Damiano, D.L.: Progressive resistance exercise in physical
    therapy: a summary of systematic reviews. Phys. Ther. 85(11), 1208–1223 (2005)
14. Häberle, R. Schellenberg, F., List, R., Plüss, M., Taylor, W.R., Lorenzett, S.: Comparison
    of the kinematics and kinetics of shoulder exercises performed with constant and elastic
    resistance. BMC Sports Sci. Med. Rehabil., pp. 10–22 (2018)
15. Moritani, T., Kimur, T. Hamada, T., Nagai, N.: Electrophysiology and kinesiology for
    health and disease. Journal of Electromyography and Kinesiology 15, 240–255 (2005)
16. Dionisio, V., Almeida, G., Duarte, M., Hirata, R.: Kinematic, kinetic and EMG patterns
    during downward squatting. Journal of Electromyography and Kinesiology 18, 134–143
    (2008)
17. Lugo, R., Kung, P., Ma C.B.: Shoulder biomechanics. Eur. J. Radiol. 68(1), 16–24 (2008)
18. Stoller, D.W.: Magnetic resonance imaging in orthopaedics and sports medicine. 3rd edn.
    V.2, XIII. Lippincott Williams & Wilkins, Philadelphia (2007)
19. Edelman, R.R., Hesselink, J., Zlatkin, M.B., Crues, J.V.: Clinical Magnetic resonance
    Imaging. 3rd edn. Elsevier Science, Philadelphia (2006)
20. Chaipat, L., Palmer, W.: Shoulder Magnetic Resonance Imaging. Clin. Sports Med. 25,
    371–386 (2006)
21. Zotin, A., Simonov, K., Kabaev, E., Kurako, M., Matsulev, A.: Evaluation of Shoulder
    Joint Data Obtained from CON-TREX Medical System. In: Czarnowski, I., Howlett, R.,
    Jain, L. (eds.) Intelligent Decision Technologies. Smart Innovation, Systems and
    Technologies, vol. 193, pp. 155–165. Springer, Singapore (2020)
22. Titskaya, E.V., Kabaev, E.M., Simonov, K.V., Matsulev, A.N.: Interpretation of data of
    the Con-trex robotic simulator in the complex rehabilitation of the shoulder joint after
    reconstructive operations. Medicine and High Technologies 3, 7–15 (2019) (In Russian)
23. Zotin, A., Simonov, K., Kapsargin, F., Cherepanova, T., Kruglyakov, A., Cadena, L.:
    Techniques for Medical Images Processing Using Shearlet Transform and Color Coding.
    In: Favorskaya, M., Jain, L. (eds.) Computer Vision in Control Systems-4, vol. 173, pp.
    223–259. Springer (2018)
24. Zotin, A., Simonov, K., Kapsargin, F., Cherepanova, T., Kruglyakov, A.: Tissue
    Germination Evaluation on Implants Based on Shearlet Transform and Color Coding. In:
    Favorskaya, M., Jain, L. (eds.) Computer Vision in Advanced Control Systems-5,
    Intelligent Systems Reference Library, vol. 175, pp. 265–294, Springer (2020)
25. Wang, C.: Bone remodeling model including mechanism of damage and repair. J. Bone
    Miner. Res. 26(4), 771–779 (2009)
26. Malanin, D.A., Tregubov, A.S., Grunin, S.V., Cherezov, L.L.: The effect of the location
    and remodeling of the bone graft block on the results of the Bristow – Latarjet operation.
    Traumatology and Orthopedics of Russia 22(3), 31–43 (2016)
27. Sims, N.A., Gooi, J.H.: Bone remodeling: Multiple cellular interactions required for
    coupling of bone formation and resorption. Semin. Cell. Dev. Biol. 19 (5), 444–451 (2008)