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

机译:基因调节网络上的实时计算机模拟实验以及手持设备上的手术模拟

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摘要

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 classical MOR and explain how a technique recently developed by the authors and coined as Proper Generalized Decomposition could make 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.
机译:对外科手术过程中发生的所有现象进行模拟是一项艰巨的任务,在可能的情况下,它涉及长时间使用超级计算设备。但是,在手术室中进行决策时需要快速提供实时准确响应的方法。为此,最近在计算外科领域出现了模型订单减少(MOR)技术以帮助减轻这种负担。在本文中,我们回顾了经典MOR的基础知识,并解释了作者最近开发的,被称为“适当的广义分解”的技术如何通过使用智能手机或平板电脑等简单设备来提供实时反馈。举例说明了该技术在不同规模的外科手术中所产生的问题,形成了从基因调控网络到宏观软组织变形和切割的技术。

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