Real-time in silico experiments on gene regulatory networks and surgery simulation on handheld devices
Article dans une revue avec comité de lecture
Author
Date
2014Journal
Journal of Computational SurgeryAbstract
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.
Files in this item
Related items
Showing items related by title, author, creator and subject.
-
Article dans une revue avec comité de lectureCHINESTA SORIA, Francisco; LEYGUE, Adrien; BORDEU, Felipe; AGUADO, Jose Vicente; CUETO, Elias; GONZALEZ, David; ALFARO, Icíar; AMMAR, Amine; HUERTA, Antonio (Springer Verlag, 2013)In this paper we are addressing a new paradigm in the field of simulation-based engineering sciences (SBES) to face the challenges posed by current ICT technologies. Despite the impressive progress attained by simulation ...
-
Article dans une revue avec comité de lectureBADÍAS, Alberto; CURTIT, Sarah; GONZÁLEZ, David; CUETO, Elías G.; ALFARO, Icíar; CHINESTA SORIA, Francisco (Wiley, 2019)While modern CFD tools are able to provide the user with reliable and accurate simulations, there is a strong need for interactive design and analysis tools. State-of-the-art CFD software employs massive resources in terms ...
-
Article dans une revue avec comité de lectureBADIAS, Alberto; GONZALEZ, David; CUETO, Elias; ALFARO, Icíar; CHINESTA SORIA, Francisco (Elsevier, 2018)In this work we explore the possibilities of reduced order modeling for augmented reality applications. We consider parametric reduced order models based upon separate (affine) parametric dependence so as to speedup the ...
-
Article dans une revue avec comité de lectureMOYA, Beatriz; GONZALEZ, David; CUETO, Elías; ALFARO, Icíar; CHINESTA SORIA, Francisco (Public Library of Science, 2020)In this paper, a novel self-learning digital twin strategy is developed for fluid sloshing phenomena. This class of problems is of utmost importance for robotic manipulation of fluids, for instance, or, in general, in ...
-
Article dans une revue avec comité de lectureGONZÁLEZ, David; CUETO, Elías G.; ALFARO, Icíar; GHNATIOS, Chady; CHINESTA SORIA, Francisco (MDPI, 2019)Biphasic soft materials are challenging to model by nature. Ongoing efforts are targeting their effective modeling and simulation. This work uses experimental atomic force nanoindentation of thick hydrogels to identify the ...