Abstract
The goal of our work is to predict the patterns of blood flow in a model of the human heart using the Immersed Boundary method. In this method, fluid is moved by forces associated with the deformation of flexible boundaries which are immersed in, and interacting with, the fluid. In the present work the boundary is comprised of the muscular walls and valve leaflets of the heart. The method benefits by having an anatomically correct model of the heart. This report describes the construction of a model based on CT data from a particular individual, opening up the possibility of simulating interventions in an individual for clinical purposes.
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Acknowledgements
The authors are grateful to Arthur E. Stillman, M.D., Ph.D., and Randolph M. Setser, D.Sc. of The Cleveland Clinic Foundation, Cleveland, Ohio for providing the CT images on which this work was based. We are also deeply grateful to “Mr. C.”, the patient whose heart was imaged.
We thank Nikos Paragios for organizing the collaboration between the Cleveland Clinic, Siemens Corporate Research and NYU that made possible the present work.
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McQueen, D.M., O’Donnell, T., Griffith, B.E., Peskin, C.S. (2015). Constructing a Patient-Specific Model Heart from CT Data. In: Paragios, N., Duncan, J., Ayache, N. (eds) Handbook of Biomedical Imaging. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09749-7_10
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DOI: https://doi.org/10.1007/978-0-387-09749-7_10
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