Abstract
Computational reconstruction of the human cardiovascular structures can be divided into four stages: image acquisition, data conversion, segmentation and surface reconstruction. The development of a model first begins with medical imaging of a human subject which can be obtained from various sources, yet all provide essentially similar information. This includes a 3D matrix (or series of 2D matrices) of volume elements (voxels), in which tissues and structures are distinguished from one another by differences in brightness or greyscale. Two dimensional slices contain data of pixels; while a voxel is the three dimensional analogy of a pixel where the third dimension is the spatial distance between each slice.
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Notes
- 1.
This section has been contributed to by S. K. Dahl in Dahl, S. K., Thomassen, E., Hellevik, L. R., Skallerud, B. (2012b). Impact of Pulmonary Venous Locations on the Intra-Atrial Flow and the Mitral Valve Plane Velocity Profile. Cardiovascular Engineering and Technology 3:269–281.
- 2.
This section has been contributed to by S. K. Dahl, in Dahl, S. K., Fagerholt, E., Kiss, G., Prot, V., Amundsen, B., Hellevik, L. R., Skallerud, B. (2011). 3D moving boundary conditions for heart CFD simulations—from echocardiographic recordings to discretised surface. MekIT’11: Sixth National Conference on Computational Mechanics:33–46.
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Tu, J., Inthavong, K., Wong, K. (2015). Geometric Model Reconstruction. In: Computational Hemodynamics – Theory, Modelling and Applications. Biological and Medical Physics, Biomedical Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9594-4_3
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DOI: https://doi.org/10.1007/978-94-017-9594-4_3
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