is a leading cause of vascular disease worldwide. Its major clinical
manifestations include ischemic heart disease, ischemic stroke, and peripheral
Atherosclerosis is the built up of fatty streaks into the
arterial wall, which eventually can develop in to plaques occluding the
arterial flow and causing thromboembolic events.
As atherosclerosis progresses,
the vessel wall becomes stiffened with increasing pulse velocity of the
systolic flow pulse.
The purpose of this project is to investigate how the pulse wave
velocity of the systolic flow can be estimated with ultrasound techniques such
as plane wave imaging or synthetic aperture imaging.
The data contain ten
volunteers who have been scanned over the carotid artery. By estimating the
pulse wave velocity from data sets of these volunteers, the method can be established,
and normal values of the pulse wave velocity can be assessed.
So, the core task
in the project is to develop the estimation algorithm for the pulse wave
velocity in the carotid artery and apply it on ten healthy volunteers.
of this project will a stepping stone for a larger clinical trial to correlate
atherosclerosis and pulse wave velocity. The project can also pave the way for
the development of a new clinical method to detect and assess atherosclerosis.
qualifications: This project includes elements of signal processing and medical
imaging analysis. The student(s) should have experience with Matlab. The course
31545 Medical Imaging Systems can be an advantage.
Allowed no of students
per report: 1-2
In collaboration withDr. Kristoffer Lindskov Hansen, Dept. of Diagnostic Radiology, Rigshospitalet
signal processing, medical imaging, matlab