Description
Recently, we have developed various tools for quantifying 4D flow in the main vessels of the cardiovascular system. These tools allow us to obtain different parameters, including wall shear stress, vorticity, helicity, kinetic energy, and many others. The process of quantifying 4D flow involves pre-processing the data (removing noise and applying correction methods), segmenting the data, creating a finite element mesh, and finally performing the parameter calculations on the 3D finite element mesh.
The aim of this project is to adapt these tools to assess 4D flow in the brain. The project will involve developing tools for data filtering, automatic vessel segmentation, creating strategies for super-resolution, and testing the accuracy of the quantification methods.
Essential criteria:
Minimum entry requirements can be found here: https://www.monash.edu/admissions/entry-requirements/minimum
Keywords
MRI, 4D flow.
School
School of Clinical Sciences at Monash Health / Hudson Institute of Medical Research » Imaging
Available options
PhD/Doctorate
Masters by research
Honours
BMedSc(Hons)
Time commitment
Full-time
Part-time
Top-up scholarship funding available
No
Physical location
Clayton Campus
Co-supervisors
Prof
Sergio Uribe