Inscrição na biblioteca: Guest
Critical Reviews™ in Biomedical Engineering

Publicou 6 edições por ano

ISSN Imprimir: 0278-940X

ISSN On-line: 1943-619X

SJR: 0.262 SNIP: 0.372 CiteScore™:: 2.2 H-Index: 56

Indexed in

Automatic Generation of Finite Element Meshes from Computed Tomography Data

Volume 31, Edição 1&2, 2003, pp. 27-72
DOI: 10.1615/CritRevBiomedEng.v31.i12.20
Get accessGet access

RESUMO

A major obstacle for a broader adoption of the finite element method (FEM) in clinical biomedical applications is the generation of the model, frequently too slow for the times imposed by the clinical practice. The algorithms for automatic mesh generation have greatly improved, but their adoption by the biomedical community is still limited. The aim of this work is to review the principal algorithms for automatic mesh generation and to critically discuss them with particular reference to their applicability in the biomedical field. Specialized literature on numerical methods was reviewed in order to identify the main theoretical approaches currently available for automatic mesh generation. Then, published methods for the automatic generation of finite element models of organs from computed tomography data were reviewed and classified with a proposed taxonomy. Each method was reconnected to a theoretical approach described in the specialized literature whenever possible. Last, each method was critically reviewed with respect to its applicability to the clinical practice. None of the methods described satisfy all the requirements in terms of automation, generality, accuracy, and robustnessimposed by a clinical application. However, some of these methods can already be successfully used in various application contexts, and a few guidelines are drawn.

CITADO POR
  1. Cristofolini Luca, Schileo Enrico, Juszczyk Mateusz, Taddei Fulvia, Martelli Saulo, Viceconti Marco, Mechanical testing of bones: the positive synergy of finite–element models andin vitroexperiments, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 368, 1920, 2010. Crossref

  2. Miller K., Wittek A., Joldes G., Horton A., Dutta-Roy T., Berger J., Morriss L., Modelling brain deformations for computer-integrated neurosurgery, International Journal for Numerical Methods in Biomedical Engineering, 26, 1, 2010. Crossref

  3. Rashid M. M., Selimotic M., A three-dimensional finite element method with arbitrary polyhedral elements, International Journal for Numerical Methods in Engineering, 67, 2, 2006. Crossref

  4. Sigal Ian A., Whyne Cari M., Mesh Morphing and Response Surface Analysis: Quantifying Sensitivity of Vertebral Mechanical Behavior, Annals of Biomedical Engineering, 38, 1, 2010. Crossref

  5. Viceconti M., Testi D., Taddei F., Martelli S., Clapworthy G.J., Jan S.V.S., Biomechanics Modeling of the Musculoskeletal Apparatus: Status and Key Issues, Proceedings of the IEEE, 94, 4, 2006. Crossref

  6. Michael Lee J., Tissue Mechanics, in Wiley Encyclopedia of Biomedical Engineering, 2006. Crossref

  7. Joldes Grand Roman, Wittek Adam, Miller Karol, Non-locking tetrahedral finite element for surgical simulation, Communications in Numerical Methods in Engineering, 25, 7, 2009. Crossref

  8. Joldes Grand Roman, Wittek Adam, Miller Karol, Real-time nonlinear finite element computations on GPU – Application to neurosurgical simulation, Computer Methods in Applied Mechanics and Engineering, 199, 49-52, 2010. Crossref

  9. Grassi Lorenzo, Hraiech Najah, Schileo Enrico, Ansaloni Mauro, Rochette Michel, Viceconti Marco, Evaluation of the generality and accuracy of a new mesh morphing procedure for the human femur, Medical Engineering & Physics, 33, 1, 2011. Crossref

  10. Wittek Adam, Joldes Grand, Couton Mathieu, Warfield Simon K., Miller Karol, Patient-specific non-linear finite element modelling for predicting soft organ deformation in real-time; Application to non-rigid neuroimage registration, Progress in Biophysics and Molecular Biology, 103, 2-3, 2010. Crossref

  11. Taddei Fulvia, Cristofolini Luca, Martelli Saulo, Gill H.S., Viceconti Marco, Subject-specific finite element models of long bones: An in vitro evaluation of the overall accuracy, Journal of Biomechanics, 39, 13, 2006. Crossref

  12. Sigal Ian A., Yang Hongli, Roberts Michael D., Downs J. Crawford, Morphing methods to parameterize specimen-specific finite element model geometries, Journal of Biomechanics, 43, 2, 2010. Crossref

  13. Helgason Benedikt, Taddei Fulvia, Pálsson Halldór, Schileo Enrico, Cristofolini Luca, Viceconti Marco, Brynjólfsson Sigurður, A modified method for assigning material properties to FE models of bones, Medical Engineering & Physics, 30, 4, 2008. Crossref

  14. Taddei Fulvia, Schileo Enrico, Helgason Benedikt, Cristofolini Luca, Viceconti Marco, The material mapping strategy influences the accuracy of CT-based finite element models of bones: An evaluation against experimental measurements, Medical Engineering & Physics, 29, 9, 2007. Crossref

  15. Zhang Johnny Y., Joldes Grand Roman, Wittek Adam, Miller Karol, Patient-specific computational biomechanics of the brain without segmentation and meshing, International Journal for Numerical Methods in Biomedical Engineering, 29, 2, 2013. Crossref

  16. Liao Sheng-Hui, Tong Ruo-Feng, Dong Jin-Xiang, Anisotropic finite element modeling for patient-specific mandible, Computer Methods and Programs in Biomedicine, 88, 3, 2007. Crossref

  17. Henak Corinne R., Anderson Andrew E., Weiss Jeffrey A., Subject-Specific Analysis of Joint Contact Mechanics: Application to the Study of Osteoarthritis and Surgical Planning, Journal of Biomechanical Engineering, 135, 2, 2013. Crossref

  18. Piccinini Marco, Cugnoni Joel, Botsis John, Zacchetti Giovanna, Ammann Patrick, Wiskott Anselm, Factors affecting subject-specific finite element models of implant-fitted rat bone specimens: critical analysis of a technical protocol, Computer Methods in Biomechanics and Biomedical Engineering, 17, 13, 2014. Crossref

  19. BRANDOLINI NICOLA, CRISTOFOLINI LUCA, VICECONTI MARCO, EXPERIMENTAL METHODS FOR THE BIOMECHANICAL INVESTIGATION OF THE HUMAN SPINE: A REVIEW, Journal of Mechanics in Medicine and Biology, 14, 01, 2014. Crossref

  20. Park Byoung-Keon, Bae Ji-hoon, Koo Bon-Yeol, Kim Jay J., Function-based morphing methodology for parameterizing patient-specific models of human proximal femurs, Computer-Aided Design, 51, 2014. Crossref

  21. Kang Sang-Hoon, Kim Moon-Key, Kim Hak-Jin, Zhengguo Piao, Lee Sang-Hwy, Accuracy Assessment of Image-Based Surface Meshing for Volumetric Computed Tomography Images in the Craniofacial Region, Journal of Craniofacial Surgery, 25, 6, 2014. Crossref

  22. Dao Tien Tuan, Rassineux Alain, Charleux Fabrice, Ho Ba Tho Marie-Christine, A robust protocol for the creation of patient-specific finite element models of the musculoskeletal system from medical imaging data, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 3, 3, 2015. Crossref

  23. Bijar Ahmad, Rohan Pierre-Yves, Perrier Pascal, Payan Yohan, Atlas-Based Automatic Generation of Subject-Specific Finite Element Tongue Meshes, Annals of Biomedical Engineering, 44, 1, 2016. Crossref

  24. Luo Y., A biomechanical sorting of clinical risk factors affecting osteoporotic hip fracture, Osteoporosis International, 27, 2, 2016. Crossref

  25. Gamboa Andres, Cosa Alejandro, Benet Francisco, Arana Estanislao, Moratal David, A semiautomatic segmentation method, solid tissue classification and 3D reconstruction of mandible from computed tomography imaging for biomechanical analysis, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012. Crossref

  26. Rohan P.-Y., Lobos C., Nazari M. A., Perrier P., Payan Y., Finite element models of the human tongue: a mixed-element mesh approach, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 5, 6, 2017. Crossref

  27. Forte Antonio E., Galvan Stefano, Dini Daniele, Models and tissue mimics for brain shift simulations, Biomechanics and Modeling in Mechanobiology, 17, 1, 2018. Crossref

  28. Viceconti Marco, Dall’Ara Enrico, From bed to bench: How in silico medicine can help ageing research, Mechanisms of Ageing and Development, 177, 2019. Crossref

  29. Miller Karol, Wittek Adam, Tavner Angus C. R., Joldes Grand Roman, Biomechanical Modelling of the Brain for Neurosurgical Simulation and Neuroimage Registration, in Biomechanics of the Brain, 2019. Crossref

  30. Joldes Grand R., Wittek Adam, Miller Karol, Real-Time Nonlinear Finite Element Computations on GPU: Handling of Different Element Types, in Computational Biomechanics for Medicine, 2011. Crossref

  31. Horton Ashley, Wittek Adam, Miller Karol, Subject-Specific Biomechanical Simulation of Brain Indentation Using a Meshless Method, in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007, 4791, 2007. Crossref

  32. Joldes Grand Roman, Wittek Adam, Couton Mathieu, Warfield Simon K., Miller Karol, Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms, in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009, 5762, 2009. Crossref

  33. Chen Kai, Zou Degao, Kong Xianjing, Yu Xiang, An efficient nonlinear octree SBFEM and its application to complicated geotechnical structures, Computers and Geotechnics, 96, 2018. Crossref

  34. Miller Karol, Wittek Adam, Joldes Grand, Ma Jiajie, Zwick Ben Jamin, Computational Biomechanics of the Brain; Application to Neuroimage Registration, in Neural Tissue Biomechanics, 3, 2011. Crossref

  35. Viceconti M., Predicting bone strength from CT data: Clinical applications, Morphologie, 103, 343, 2019. Crossref

  36. Paulo Soraia Figueiredo, Lopes Daniel Simões, Jorge Joaquim, 3D Reconstruction from CT Images Using Free Software Tools, in Digital Anatomy, 2021. Crossref

Portal Digital Begell Biblioteca digital da Begell eBooks Diários Referências e Anais Coleções de pesquisa Políticas de preços e assinaturas Begell House Contato Language English 中文 Русский Português German French Spain