Abstract
Many scientific and medical researchers are working towards the creation of a virtual human—a personalized digital copy of an individual—that will assist in a patient’s diagnosis, treatment and recovery. The complex nature of living systems means that the development of this remains a major challenge. We describe progress in enabling the HemeLB lattice Boltzmann code to simulate 3D macroscopic blood flow on a full human scale. Significant developments in memory management and load balancing allow near linear scaling performance of the code on hundreds of thousands of computer cores. Integral to the construction of a virtual human, we also outline the implementation of a self-coupling strategy for HemeLB. This allows simultaneous simulation of arterial and venous vascular trees based on human-specific geometries.
Highlights
The human body is comprised of several complex and interacting subsystems that, in concert, determine its full operation
We describe progress in enabling the HemeLB lattice Boltzmann code to simulate 3D macroscopic blood flow on a full human scale
In this paper we present proof-of-concept studies that demonstrate the capability of these changes to run a large, 3D flow model on realistic geometries of human-scale arterial and venous trees
Summary
The human body is comprised of several complex and interacting subsystems that, in concert, determine its full operation. Many previous studies of large sections of the human vasculature use a 1D solver to capture the blood flow in some or all of the vessels [5,6,7,8] While this can be an efficient approach for simulating large, complex networks, it makes many assumptions about the flow behaviour within a vessel. In this paper we present proof-of-concept studies that demonstrate the capability of these changes to run a large, 3D flow model on realistic geometries of human-scale arterial and venous trees. These serve as a stepping stone to highlight both the existing capability and the areas which need ongoing development and improvement.
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