ALFARO, Iciar; GONZALEZ, David; BORDEU, Felipe; LEYGUE, Adrien; AMMAR, Amine; CUETO, Elías; CHINESTA, Francisco

doi:10.1186/2194-3990-1-1

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ALFARO, Iciar
Aragón Institute of Engineering Research [Zaragoza] [I3A]

GONZALEZ, David
Aragón Institute of Engineering Research [Zaragoza] [I3A]

BORDEU, Felipe
Institut de Recherche en Génie Civil et Mécanique [GeM]

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Journal of Computational Surgery. 2014-01, vol. 1, n° 1, p. 1-14

Résumé en anglais

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.< Réduire

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Model Order Reduction

Gene regulatory networks

Surgery simulation

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

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