Abstract
In this work we develop and present automatic and semi-automatic user-guided methods and algorithms for patient-specific image segmentation and generation of discrete geometric models for several cardiovascular biomedical applications. A new technique for dynamic heart ventricles segmentation and mesh generation using dynamic contrast enhanced Computed Tomography images is presented in detail.
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Acknowledgements
This work has been supported by the Russian Science Foundation (RSF) grant 14-31-00024.
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Danilov, A.A., Pryamonosov, R.A., Yurova, A.S. (2018). Segmentation Techniques for Cardiovascular Modeling. In: Mondaini, R. (eds) Trends in Biomathematics: Modeling, Optimization and Computational Problems. Springer, Cham. https://doi.org/10.1007/978-3-319-91092-5_4
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DOI: https://doi.org/10.1007/978-3-319-91092-5_4
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