Abstract
Any part of a live human body bears constant dynamic changes in the spatial and temporal axis. Therefore we believe that analyzing and understanding the 4 dimensional dynamics of a human body will contribute to new inputs in medical diagnosis and doctor’s judgment for effective treatment. To achieve this objective, we are developing a quantitative 4D human body model with inner structures such as the skeletal structure and major organs. We are aiming to grasp from various viewpoints, the spatiotemporal (four-dimensional) changes of an anatomical structure of a live human being. The model in this research is constructed based on a subject measured by MRI. The aim is to have the model’s inner structures change according to the subject’s full body movement data. In addition, we aim to have a function in which the shape of the skin surface changes synchronizing with the data.
In this research, we examine the possibilities of clinical application of our 4D model that not only has skeletal and major organ blood vessel systems but also has muscular systems as inner structure.
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Söderkvist, I., Wedin, P.Å.: Determining the movements of the skeleton using well-configured markers. J. Biomech. 26(12), 1473–1477 (1993)
Schmidt, R., Disselhorst-Klug, C., Silny, J., Rau, G.A.: Marker-based measurement procedure for unconstrained wrist and elbow motions. J. Biomech. 32(6), 615–621 (1999)
Rab, G., Petuskey, K., Bagley, A.: A method for determination of upper extremity kinematics. Gait Posture 15(2), 113–119 (2002)
Cappozzo, A., Della Croce, U., Leardini, A., Chiari, L.: Human movement analysis using stereophotogrammetry: Part 1: theoretical background. Gait Posture 21(2), 186–196 (2005)
Delp, S.L., Anderson, F.C., Arnold, A.S., Loan, P., Habib, A., John, C.T., Thelen, D.G.: OpenSim: open-source software to create and analyze dynamic simulations of movement. IEEE Trans. Biomed. Eng. 54(11), 1940–1950 (2007)
van den Bogert, A.J., Geijtenbeek, T., Even-Zohar, O., Steenbrink, F., Hardin, E.C.: A real-time system for biomechanical analysis of human movement and muscle function. Med. Biol. Eng. Comput. 51(10), 1069–1077 (2013)
Kawakami, H., Sugano, N., Yonenobu, K., Yoshikawa, H., Ochi, T., Hattori, A., Suzuki, N.: Ef-fects of rotation on measurement of lower limb alignment for knee osteotomy. J. Orthop. Res. 22(6), 1248–1253 (2004)
Sugano, N., Tsuda, K., Miki, H., Takao, M., Suzuki, N., Nakamura, N.: Dynamic meas-urements of hip movement in deep bending activities after total hip arthroplasty using a 4-dimensional motion analysis system. J. Arthroplasty 27(8), 1562–1568 (2012)
Miki, H., Sugano, N., Yonenobu, K., Tsuda, K., Hattori, A., Suzuki, N.: Detecting cause of dislo-cation after total hip arthroplasty by patient-specific four-dimensional motion analysis. Clin. Biomech. 28, 182–186 (2013)
Damsgaard, M., Rasmussen, J., Christensen, S.T., Surma, E., de Zee, M.: Analysis of musculoskeletal systems in the AnyBody Modeling System. Simul. Model. Pract. Theor. 14(8), 1100–1111 (2006)
Bolsterlee, B., Veeger, D.H., Chadwick, E.K.: Clinical applications of musculoskeletal modelling for the shoulder and upper limb. Med. Biol. Eng. Comput. 51(9), 953–963 (2013)
Arnold, E.M., Ward, S.R., Lieber, R.L., Delp, S.L.: A model of the lower limb for analysis of human movement. Ann. Biomed. Eng. 38(2), 269–279 (2010)
Christophy, M., Senan, N.A.F., Lotz, J.C., O’Reilly, O.M.: A musculoskeletal model for the lumbar spine. Biomechan. Model. Mechanobiology 11(1–2), 19–34 (2012)
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Suzuki, N., Hattori, A., Hashizume, M. (2015). Development of 4D Human Body Model that Enables Deformation of Skin, Organ and Blood Vessel According to Dynamic Change. In: Linte, C., Yaniv, Z., Fallavollita, P. (eds) Augmented Environments for Computer-Assisted Interventions. AE-CAI 2015. Lecture Notes in Computer Science(), vol 9365. Springer, Cham. https://doi.org/10.1007/978-3-319-24601-7_9
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DOI: https://doi.org/10.1007/978-3-319-24601-7_9
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