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Visualization of vascular injuries in extremity trauma

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Abstract

A tandem of particle-based computational methods is adapted to simulate injury and hemorrhage in the human body. In order to ensure anatomical fidelity, a three-dimensional model of a targeted portion of the human body is reconstructed from a dense sequence of CT scans of an anonymized patient. Skin, bone and muscular tissue are distinguished in the imaging data and assigned with their respective material properties. An injury geometry is then generated by simulating the mechanics of a ballistic projectile passing through the anatomical model with the material point method. From the injured vascular segments identified in the resulting geometry, smoothed particle hydrodynamics (SPH) is employed to simulate bleeding, based on inflow boundary conditions obtained from a network model of the systemic arterial tree. Computational blood particles interact with the stationary particles representing impermeable bone and skin and permeable muscular tissue through the Brinkman equations for porous media. The SPH results are rendered in post-processing for improved visual fidelity. The overall simulation strategy is demonstrated on an injury scenario in the lower leg.

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References

  1. Akinci N, Ihmsen M, Akinci G, Solenthaler B, Teschner M (2012) Versatile rigid-fluid coupling for incompressible SPH. ACM Trans Graph 31(4), Art ID 62. doi:10.1145/2185520.2185558

  2. Avolio AP (1980) Multi-branched model of the human arterial system. Med Biol Eng Comput 18(6):709–718

    Article  CAS  PubMed  Google Scholar 

  3. Basdogan C, Ho C-H, Srinivasan MA (2001) Virtual environments for medical training: graphical and haptic simulation of laparoscopic common bile duct exploration. IEEE/ASME Trans Mechatron 6(3):269–285

    Article  Google Scholar 

  4. Boisvert J, Poirier G, Borgeat L, Godin G (2013) Real-time blood circulation and bleeding model for surgical training. IEEE Trans Biomed Eng 60(4):1013–1022

    Article  PubMed  Google Scholar 

  5. Bridson R (2007) Fast poisson disk sampling in arbitrary dimensions. In: ACM SIGGRAPH 2007 Sketches. SIGGRAPH ’ 07:2007

  6. Courtecuisse H, Allard J, Kerfriden P, Bordas SP, Cotin S, Duriez C (2014) Real-time simulation of contact and cutting of heterogeneous soft-tissues. Med Image Anal 18(2):394–410

    Article  PubMed  Google Scholar 

  7. Dehnen W, Aly H (2012) Improving convergence in smoothed particle hydrodynamics simulations without pairing instability. Mon Not R Astron Soc 425(2):1068–1082

    Article  Google Scholar 

  8. Desbrun M, Gascuel MP (1996) Smoothed particles: a new paradigm for animating highly deformable bodies. In: Computer animation and simulation ’96 proceedings of EG workshop on animation and simulation. Springer, pp 61–76

  9. Durlofsky L, Brady JF (1987) Analysis of the brinkman equation as a model for flow in porous media. Phys Fluids 30:3329–3341

    Article  Google Scholar 

  10. Frank P, Eldredge JD, Benharash P, Dutson EP (2016) Real-time numerical simulation of the cardiovascular system and autoregulatory mechanisms in response to hemorrhagic injury. In: Preparation

  11. Gallagher AG, Ritter EM, Champion H, Higgins G, Fried Marvin P, Moses Gerald, Smith C Daniel, Satava Smith (2005) Virtual reality simulation for the operating room: proficiency-based training as a paradigm shift in surgical skills training. Ann Surg 241(2):364–372

    Article  PubMed  PubMed Central  Google Scholar 

  12. Gingold RA, Monaghan JJ (1977) Smoothed particle hydrodynamics: theory and application to non-spherical stars. MNRAS 181:375–389

    Article  Google Scholar 

  13. Horvath CJ, Solenthaler B (2013) Mass preserving multi-scale sph. In: Pixar Technical Memo 13-04, Pixar Animation Studios

  14. Jiang C, Schroeder C, Selle A, Teran J, Stomakhin A (2015) The affine particle-in-cell method. ACM Trans Graph 34(4):51:1–51:10

    Article  Google Scholar 

  15. Kellman J (2014) Adaptive response-time-based category sequencing in perceptual learning. Vis Res 99:111–123

    Article  PubMed  Google Scholar 

  16. Krasne S, Hillman JD, Kellman PJ, Drake TA et al (2013) Applying perceptual and adaptive learning techniques for teaching introductory histopathology. J Pathol Inform 4(1):34

    Article  PubMed  PubMed Central  Google Scholar 

  17. Kühnapfel U, Cakmak HK, Maaß H (2000) Endoscopic surgery training using virtual reality and deformable tissue simulation. Comput Graph 24(5):671–682

    Article  Google Scholar 

  18. Liu A, Tendick F, Cleary K, Kaufmann C (2003) A survey of surgical simulation: applications, technology, and education. Presence Teleoperators Virtual Environ 12(6):599–614

    Article  Google Scholar 

  19. Lucy LB (1977) Numerical study of liquid composite molding using a smoothed particle hydrodynamics method. Astron J 82:1013–1024

    Article  Google Scholar 

  20. Meier U, López O, Monserrat C, Juan MC, Alcaniz M (2005) Real-time deformable models for surgery simulation: a survey. Comput Methods Programs Biomed 77(3):183–197

    Article  CAS  PubMed  Google Scholar 

  21. Müller M, Charypar D, Gross M (2003) Particle-based fluid simulation for interactive applications. In: Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on computer animation

  22. Müller M, Schirm S, Teschner M (2003) Interactive blood simulation for virtual surgery based on smoothed particle hydrodynamics. Technol Health Care 12:25–31

    Google Scholar 

  23. Museth K (2014) A flexible image processing approach to the surfacing of particle-based fluid animation (invited talk). In: Mathematical progress in expressive image synthesis I, volume 4 of mathematics for industry, pp 81–84

  24. Oger Guillaume, Doring Mathieu, Alessandrini Bertrand, Ferrant Pierre (2007) An improved sph method: Towards higher order convergence. Journal of Computational Physics 225(2):1472–1492

    Article  Google Scholar 

  25. Ram D, Gast T, Jiang C, Schroeder C, Stomakhin A, Teran J, Kavehpour P (2015) A material point method for viscoelastic fluids, foams and sponges. In: Proceedings of the 14th ACM SIGGRAPH / Eurographics symposium on computer animation, SCA ’15, pp 157–163

  26. Solenthaler B, Gross M (2011) Two-scale particle simulation. In: Proceedings of ACM SIGGRAPH 30:2011

  27. Stam J, Fiume E (1995) Depicting fire and other gaseous phenomena using diffusion processes. In: Proceedings of the 22nd annual conference on computer graphics and interactive techniques, pp 129–136. ACM

  28. Stergiopulos N, Young DF, Rogge TR (1992) Computer simulation of arterial flow with application to arterial and aortic stenoses. J Biomech 25(12):1477–1488

    Article  CAS  PubMed  Google Scholar 

  29. Stomakhin A, Schroeder C, Chai L, Teran J, Selle A (2013) A material point method for snow simulation. ACM Trans Graph 32(4):1021–10210

    Article  Google Scholar 

  30. Stomakhin A, Schroeder C, Jiang C, Chai L, Teran J, Selle A (2014) Augmented MPM for phase-change and varied materials. ACM Trans Graph 33(4):138:1–138:11

    Article  Google Scholar 

  31. Su D, Ma R, Zhur L (2011) Numerical study of liquid composite molding using a smoothed particle hydrodynamics method. Special Top Rev Porous Media Int J 2(3):205–212

    Article  Google Scholar 

  32. Sulsky D, Zhou S-J, Schreyer HL (1995) Application of a particle-in-cell method to solid mechanics. Comput Phys Commun 87(1–2):236–252

    Article  CAS  Google Scholar 

  33. Womersley JR (1957) Oscillatory flow in arteries: the constrained elastic tube as a model of arterial flow and pulse transmission. Phys Med Biol 2:178–187

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

This work has been supported by the Office of Naval Research under Grant N00014-13-C-0357, monitored by Dr. Ray Perez.

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Correspondence to Kwitae Chong.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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Chong, K., Jiang, C., Ram, D. et al. Visualization of vascular injuries in extremity trauma. Med Biol Eng Comput 55, 1709–1718 (2017). https://doi.org/10.1007/s11517-017-1619-9

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  • DOI: https://doi.org/10.1007/s11517-017-1619-9

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