Image-Based Computational Fluid Dynamics for Patient-Specific Therapy Design and Personalized Medicine

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Abstract

Recent advances in quantitative imaging allow unprecedented views into organ function and cellular chemistry of whole organisms in vivo. Novel imaging modalities enable the quantitative investigation of spatio-temporal reaction and transport phenomena in the living animal or the human body. Quantitative imaging modalities enable quantitative analysis with image-based computational fluid dynamics (iCFD). This methodology integrates medical imaging modalities with rigorous computational fluid dynamics. The future potential of patient-specific therapy design with iCFD will be illustrated with three case studies. This chapter will highlight the growing opportunities of patient-specific therapy design made possible by the advancement of quantitative medical imaging modalities in combination with mathematical modeling. Conclusions will emphasize on future steps towards individualized medicine using iCFD methods.

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Linninger, A. A. (2012). Image-Based Computational Fluid Dynamics for Patient-Specific Therapy Design and Personalized Medicine. In Studies in Mechanobiology, Tissue Engineering and Biomaterials (Vol. 9, pp. 337–355). Springer. https://doi.org/10.1007/8415_2011_101

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