Project Description
The potential impact of blood flow simulations on the diagnosis and treatment of patients suffering from cancer and vascular disease is tremendous. Empowering models of the full arterial tree can provide insight into diseases such as arterial hypertension and enables the study of the influence of local factors on global hemodynamics. Cardiovascular diseases are currently responsible for more than 17.3 million deaths per year which is expected to grow to more than 23.6 million by 2030.
To model the blood flow distribution in 3D models of the vasculature, we have started developing a new, highly scalable implementation of the Lattice Boltzmann method which addresses key challenges such as multiscale coupling, limited memory capacity and bandwidth, and robust load balancing in complex geometries.
Tasks and Responsibilites
The student is expected to quantify the hemodynamic parameters (blood velocity, pressure, wall shear stress, and vorticity) through the vasculature.
The student is expected to write short Matlab codes and perform required post-processing analysis of the results.
The student is expected to participate in regular weekly meetings where challenges and progressions will be discussed in detail. Student is expected to prepare a written report about the project and present it to the mentor at the end of their project.
Previous background of the adviser in this regard (one in the PLOS ONE, one in AJP- Heart and Circulatory, and several other journal articles and conference papers) has built a base which will be further developed in this work.