Free Tools and Strategies for the Generation of 3D Finite Element Meshes: Modeling of the Cardiac Structures

Pavarino, Eduardo; Neves, Leandro Alves; Machado, J.M.; Godoy, Moacir Fernandes de; Yang, Shiyou; Momente, Julio César; Zafalon, Geraldo Francisco Donegá; Pinto, Alex Sandro Roschildt; Valêncio, Carlos Roberto

doi:10.1155/2013/540571

Cited by 6 publications

(2 citation statements)

References 24 publications

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“…The choice of the method depends on the accuracy and complexity of the model, but each of them has its own shortcomings, which ultimately influence the simulation results. The method of polygons demonstrates high accuracy, thanks to the large number of elements in the grid nodes, however, this features significantly complicate computer calculations [16,17]. The CAD method, in contrast, allows you to create a high-quality mesh, but it is less accurate and less cost-effective than the polygon method.…”

Section: Introductionmentioning

confidence: 99%

Algorithm for Reconstructing a 3D Model of the Aortic Root Using Uniform Crushing of CT Images

Klyshnikov¹,

Овчаренко²,

Ganyukov³

et al. 2018

Sovrem Tehnol Med

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The aim of the study was to develop a uniform crushing method to be used in reconstructing a computational grid for 3D models simulating transcatheter aortic valve implantation based on medical images (DICOM) and mathematical processing and then to compare this novel approach with the currently used polygon and CAD methods. Materials and Methods. The method was developed using the clinical and imaging data of patient N., 68 years old, who underwent transcatheter aortic valve replacement. The images were taken from multispiral computed tomography. The aortic root models were reconstructed using three methods: the polygons method (Mimics, Belgium), the CAD method (NX 9.0, Germany) and the author's algorithm implemented in MATLAB (USA). Quality assessment of the reconstructed models was performed by numerical simulation using the Abaqus/ CAE 6.14 (USA) engineering analysis reproducing two pressure load scenarios: the systole and the diastole. Results. Evaluation of the reconstructed models of the aortic root showed that the proposed numerical method allows one to segment the object (aortic root) into elements, which are more homogeneous as compared to the polygon method or the CAD method. Thus, in the polygon method, 128,452 tetrahedrons (pyramids, C3D4) were used; in the CAD method, 28,456 hexahedrons (parallelograms, C3D8) were used; and in the case of the numerical method-24,644 identical C3D8 elements were used. The results of the numerical simulations also differed: in the polygon method, the von Mises maximum was 0.262 MPa; for the CAD algorithm, 0.412 MPa; and in the numerical method, 0.359 MPa. An important criterion of the reconstruction efficiency was the computation time factor: for the polygon method, it was 458.6 s, for the CAD algorithm-377.2 s (21.5% less), and for the proposed numerical method-341.8 s (34.1% less). Conclusion. The qualitative and quantitative results of the study demonstrate the usefulness of the proposed algorithm based on hexahedral finite elements in reconstructing a biological object for the purpose of numerical analysis. Using this algorithm in the transcatheter aortic valve implantation modeling process makes it possible to reduce the time of numerical analysis and increase its accuracy, which may improve the quality of preoperative planning.

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Section: Introductionmentioning

confidence: 99%

Algorithm for Reconstructing a 3D Model of the Aortic Root Using Uniform Crushing of CT Images

Klyshnikov¹,

Овчаренко²,

Ganyukov³

et al. 2018

Sovrem Tehnol Med

View full text Add to dashboard Cite

show abstract

“…Therefore, the conclusion is that strategies and tools for integration of open source solid modelers and mesh generators are relevant in the context of FEM applications. For instance, some preliminary approaches were described by Pavarino et al (2013), Pavarino et al (2014) and Neves et al (2015), considering tridimensional elements for applications in medicine. However, in these strategies the computational simulations were not performed with the tetrathedral meshes.…”

Section: Introductionmentioning

confidence: 99%