Search results for "Biomechanical modeling"

showing 2 items of 2 documents

Estimation of the elastic parameters of human liver biomechanical models by means of medical images and evolutionary computation.

2013

This paper presents a method to computationally estimate the elastic parameters of two biomechanical models proposed for the human liver. The method is aimed at avoiding the invasive measurement of its mechanical response. The chosen models are a second order Mooney–Rivlin model and an Ogden model. A novel error function, the geometric similarity function (GSF), is formulated using similarity coefficients widely applied in the field of medical imaging (Jaccard coefficient and Hausdorff coefficient). This function is used to compare two 3D images. One of them corresponds to a reference deformation carried out over a finite element (FE) mesh of a human liver from a computer tomography image, …

Mathematical optimizationSimilarity (geometry)Jaccard indexPhysics::Medical PhysicsEvolutionary algorithmHealth InformaticsModels BiologicalEvolutionary computationImaging Three-DimensionalJaccardScatter searchImage Interpretation Computer-AssistedGenetic algorithmHumansBiomechanical modeling Genetic algorithm Hausdorff Jaccard Liver Scatter searchMathematicsFunction (mathematics)Biological EvolutionFinite element methodBiomechanical PhenomenaComputer Science ApplicationsError functionGenetic algorithmLiverHausdorffBiomechanical modelingLENGUAJES Y SISTEMAS INFORMATICOSAlgorithmSoftware
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Real-time biomechanical modeling of the liver using Machine Learning models trained on Finite Element Method simulations

2020

[EN] The development of accurate real-time models of the biomechanical behavior of different organs and tissues still poses a challenge in the field of biomechanical engineering. In the case of the liver, specifically, such a model would constitute a great leap forward in the implementation of complex applications such as surgical simulators, computed-assisted surgery or guided tumor irradiation. In this work, a relatively novel approach for developing such a model is presented. It consists in the use of a machine learning algorithm, which provides real-time inference, trained on tens of thousands of simulations of the biomechanical behavior of the liver carried out by the finite element me…

0209 industrial biotechnologyComputer scienceINGENIERIA MECANICA02 engineering and technologyMachine learningcomputer.software_genreField (computer science)020901 industrial engineering & automationArtificial IntelligenceEuclidean geometryMachine learning0202 electrical engineering electronic engineering information engineeringFinite element method Real timebusiness.industryWork (physics)General EngineeringCoherent point driftBiomechanical engineeringFinite element methodComputer Science ApplicationsRange (mathematics)Liver020201 artificial intelligence & image processingArtificial intelligenceBiomechanical modelingbusinesscomputer
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