Abstract
This paper describes a set of software tools which we developed for the calculation of fluid flow through cardiovascular organs. Our tools work with medical data from a CT scanner, but could be used with any other 3D input data. For meshing we used a Tetgen tetrahedral mesh generator, as well as a mesh re-generator that we have developed for conversion of tetrahedral elements into bricks. After adequate meshing we used our PAKF solver for calculation of fluid flow. For human-friendly presentation of results we developed a set of post-processing software tools. With modification of 2D mesh (boundary of cardiovascular organ) it is possible to do virtual surgery, so in a case of an aorta with aneurism, which we had received from University Clinical center in Heidelberg from a multi-slice 64-CT scanner, we removed the aneurism and ran calculations on both geometrical models afterwards. The main idea of this methodology is creating a system that could be used in clinics.
Highlights
This paper describes a set of software tools which we developed for the calculation of fluid flow through cardiovascular organs
For human-friendly presentation of results we developed a set of postprocessing software tools
With modification of 2D mesh it is possible to do virtual surgery, so in a case of an aorta with aneurism, which we had received from University Clinical center in Heidelberg from a multi-slice 64-CT scanner, we removed the aneurism and ran calculations on both geometrical models afterwards
Summary
This paper describes a set of software tools which we developed for the calculation of fluid flow through cardiovascular organs. With modification of 2D mesh (boundary of cardiovascular organ) it is possible to do virtual surgery, so in a case of an aorta with aneurism, which we had received from University Clinical center in Heidelberg from a multi-slice 64-CT scanner, we removed the aneurism and ran calculations on both geometrical models afterwards. Simulation can be useful because we can measure, modify boundary conditions and results (shear stress, particle tracking, velocities, etc.) as we want without real interventions on the specific patient. This is used in predictive medicine too, because progress of disease can be simulated. For representation of the results, we developed a set of post-processing tools
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