Real-time in silico experiments on gene regulatory networks and surgery simulation on handheld devices

  • Alfaro I
  • González D
  • Bordeu F
  • et al.
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Abstract

Simulation of all phenomena taking place in a surgical procedure is a formidable task that involves, when possible, the use of supercomputing facilities over long time periods. However, decision taking in the operating room needs for fast methods that provide an accurate response in real time. To this end,Model Order Reduction (MOR) techniques have emerged recently in the field of Computational Surgery to help alleviate this burden. In this paper, we review the basics of classicalMOR and explain how a technique recently developed by the authors and coined as Proper Generalized Decomposition couldmake real-time feedback available with the use of simple devices like smartphones or tablets. Examples are given on the performance of the technique for problems at different scales of the surgical procedure, form gene regulatory networks to macroscopic soft tissue deformation and cutting.

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Alfaro, I., González, D., Bordeu, F., Leygue, A., Ammar, A., Cueto, E., & Chinesta, F. (2014). Real-time in silico experiments on gene regulatory networks and surgery simulation on handheld devices. Journal of Computational Surgery, 1(1). https://doi.org/10.1186/2194-3990-1-1

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