@InProceedings{8081692,
  author = {R. Noël and F. Ge and Y. Zhang and L. Navarro and G. Courbebaisse},
  booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},
  title = {Lattice Boltzmann method for modelling of biological phenomena},
  year = {2017},
  pages = {2654-2658},
  abstract = {This paper suggests a new methodology based on the Lattice Boltzmann Method for the modelling of complex biomechanical systems. The LBM can be applied for different operations due to the matching of the pixels of medical images with the nodes of the lattice used by the Lattice Boltzmann method. This allows the optimisation and reduction of the computation time when solving multiphysics complex phenomena. To demonstrate the efficiency of the chosen approach, the modelling of the thrombosis phenomenon within the cavity of a giant cerebral aneurysm has been implemented. The underlying strategy is to implement the Lattice Boltzmann Method for different operations such as extracting the geometry of a considered aneurysm associated to its parent vessel, solving fluid dynamics governing the blood flow and modelling the thrombus growth.},
  keywords = {biomechanics;blood vessels;brain;diseases;flow simulation;haemodynamics;lattice Boltzmann methods;medical image processing;physiological models;Lattice Boltzmann Method;biological phenomena;complex biomechanical systems;medical images;multiphysics complex phenomena;thrombosis phenomenon;optimisation;giant cerebral aneurysm;parent vessel;fluid dynamics;blood flow;thrombus growth;Mathematical model;Aneurysm;Lattice Boltzmann methods;Biological system modeling;Computational fluid dynamics},
  doi = {10.23919/EUSIPCO.2017.8081692},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570347091.pdf},
}

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The LBM can be applied for different operations due to the matching of the pixels of medical images with the nodes of the lattice used by the Lattice Boltzmann method. This allows the optimisation and reduction of the computation time when solving multiphysics complex phenomena. To demonstrate the efficiency of the chosen approach, the modelling of the thrombosis phenomenon within the cavity of a giant cerebral aneurysm has been implemented. The underlying strategy is to implement the Lattice Boltzmann Method for different operations such as extracting the geometry of a considered aneurysm associated to its parent vessel, solving fluid dynamics governing the blood flow and modelling the thrombus growth.","keywords":"biomechanics;blood vessels;brain;diseases;flow simulation;haemodynamics;lattice Boltzmann methods;medical image processing;physiological models;Lattice Boltzmann Method;biological phenomena;complex biomechanical systems;medical images;multiphysics complex phenomena;thrombosis phenomenon;optimisation;giant cerebral aneurysm;parent vessel;fluid dynamics;blood flow;thrombus growth;Mathematical model;Aneurysm;Lattice Boltzmann methods;Biological system modeling;Computational fluid dynamics","doi":"10.23919/EUSIPCO.2017.8081692","issn":"2076-1465","month":"Aug","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570347091.pdf","bibtex":"@InProceedings{8081692,\n author = {R. Noël and F. Ge and Y. Zhang and L. Navarro and G. Courbebaisse},\n booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},\n title = {Lattice Boltzmann method for modelling of biological phenomena},\n year = {2017},\n pages = {2654-2658},\n abstract = {This paper suggests a new methodology based on the Lattice Boltzmann Method for the modelling of complex biomechanical systems. The LBM can be applied for different operations due to the matching of the pixels of medical images with the nodes of the lattice used by the Lattice Boltzmann method. This allows the optimisation and reduction of the computation time when solving multiphysics complex phenomena. To demonstrate the efficiency of the chosen approach, the modelling of the thrombosis phenomenon within the cavity of a giant cerebral aneurysm has been implemented. 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