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

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