Real-Time Blood Circulation and Bleeding Model for Surgical Training

Boisvert, Jonathan; Poirier, Guillaume; Borgeat, Louis; Godin, Guy

doi:10.1109/tbme.2012.2230326

Cited by 8 publications

(2 citation statements)

References 32 publications

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“…It seems, however, that biophysics‐based models of living internal human parts will attract a wider audience in health applications. Today's functional models already impact the way surgeons practice and plan surgery [BCHSS99, HSD10, BMPG11, HWCH12, BPBG13, UF15, BTM17]. Virtual patients are an alternative to cadaver or animal models for the learning of anatomy and surgical techniques.…”

Section: Discussionmentioning

confidence: 99%

“…Basdogan [BCHSS99], for instance, used Navier–Stokes equations to deform a continuous polyhedral surface that is drawn with a red colour over the anatomy to simulate bleeding in real time. Besides, blood often played a secondary role in surgery simulations, where any red fluid is enough to convey the presence of blood and enrich the visual of a scalpel cutting through flesh [HSD10, BMPG11, BPBG13, UF15, BTM17]. In realistic rendering, models of light interaction with human skin sometimes account for the presence of blood through the incorporation of absorption coefficients of blood‐borne pigments [DJ06, BK10].…”

Section: Connective Tissuesmentioning

confidence: 99%

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Appearance Modelling of Living Human Tissues

Nunes

Maciel

Meyer³

et al. 2019

Computer Graphics Forum

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The visual fidelity of realistic renderings in Computer Graphics depends fundamentally upon how we model the appearance of objects resulting from the interaction between light and matter reaching the eye. In this paper, we survey the research addressing appearance modelling of living human tissue. Among the many classes of natural materials already researched in Computer Graphics, living human tissues such as blood and skin have recently seen an increase in attention from graphics research. There is already an incipient but substantial body of literature on this topic, but we also lack a structured review as presented here. We introduce a classification for the approaches using the four types of human tissues as classifiers. We show a growing trend of solutions that use first principles from Physics and Biology as fundamental knowledge upon which the models are built. The organic quality of visual results provided by these Biophysical approaches is mainly determined by the optical properties of biophysical components interacting with light. Beyond just picture making, these models can be used in predictive simulations, with the potential for impact in many other areas.

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Section: Discussionmentioning

confidence: 99%

Section: Connective Tissuesmentioning

confidence: 99%

Appearance Modelling of Living Human Tissues

Nunes

Maciel

Meyer³

et al. 2019

Computer Graphics Forum

View full text Add to dashboard Cite

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Visualization of vascular injuries in extremity trauma

Chong

Jiang

Ram

et al. 2017

Med Biol Eng Comput

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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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