Image Reconstruction in Low-Field MRI: A Super-Resolution Approach
Merel de Leeuw den Bouter
Supervisor: Martin van Gijzen and Rob Remis
Site of the project:
TU Delft and Leiden University
Leids Universitair Medisch Centrum
Gorter Center for High-field MRI
Albinusdreef 2
2333 ZA Leiden
Daily supervisor Leiden University: Andrew Webb
start of the project: September 2016
In December 2016 the
Interim Thesis
has appeared
and a
presentation
has been given.
The Master project has been finished in July 2017
by the completion of the
Masters Thesis
and a final presentation
has been given.
For working address etc. we refer to our
alumnipage.
Summary of the master project:
In conventional magnetic resonance imaging (MRI), superconducting
magnets are used to generate extremely strong and homogeneous magnetic
fields, leading to a high signal-to-noise ratio and images of very good
quality. However, these superconducting magnets make MRI scanners
expensive. So expensive, in fact, that many patients in developing
countries do not have access to this technology. Teams at LUMC and
Pennsylvania State University are creating low-cost low-field MRI
scanners with the goal of being able to diagnose children with
hydrocephalus in developing countries. The images generated using these
low-field MRI scanners will be low-resolution images. A high-resolution
image can be obtained using the information stored in several
low-resolution images by a technique called super-resolution
reconstruction. The goal of this research is to apply this technique to
the images generated by low-field MRI scanners.
Contact information:
Kees
Vuik
Back to the
home page
or the
Master students page of Kees Vuik