Development of 4D Human Body Model that Enables Deformation of Skin, Organ and Blood Vessel According to Dynamic Change

  • Naoki SuzukiEmail author
  • Asaki Hattori
  • Makoto Hashizume
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9365)


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.


4D human model Elastic skin surface Motion analysis 


  1. 1.
    Söderkvist, I., Wedin, P.Å.: Determining the movements of the skeleton using well-configured markers. J. Biomech. 26(12), 1473–1477 (1993)CrossRefGoogle Scholar
  2. 2.
    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)CrossRefGoogle Scholar
  3. 3.
    Rab, G., Petuskey, K., Bagley, A.: A method for determination of upper extremity kinematics. Gait Posture 15(2), 113–119 (2002)CrossRefGoogle Scholar
  4. 4.
    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)Google Scholar
  5. 5.
    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)CrossRefGoogle Scholar
  6. 6.
    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)CrossRefGoogle Scholar
  7. 7.
    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)CrossRefGoogle Scholar
  8. 8.
    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)CrossRefGoogle Scholar
  9. 9.
    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)CrossRefGoogle Scholar
  10. 10.
    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)CrossRefGoogle Scholar
  11. 11.
    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)CrossRefGoogle Scholar
  12. 12.
    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)CrossRefGoogle Scholar
  13. 13.
    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)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Institute for High Dimensional Medical ImagingThe Jikei University School of MedicineTokyoJapan
  2. 2.Department of Advanced Medical Initiatives, Faculty of Medical SciencesKyushu UniversityFukuokaJapan

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