Super-resolution image reconstruction for inexpensive MRIPP

Inexpensive MRI scanners based on permanent magnets present a promising diagnostic tool for developing countries. An ill-posed system of equations has to be solved in order to obtain an image. Due to the low signal-to-noise ratio, direct attempts at generating high resolution images yield poor results. In this research, super-resolution reconstruction is considered as an alternative. By first obtaining low resolution images and then applying super-resolution, high resolution images of better quality can be obtained.

This is poster number 17 in Poster Session

Merel de Leeuw den Bouter (Delft University of Technology)
Martin van Gijzen (Delft University of Technology)
Rob Remis (Delft University of Technology)
Andrew Webb (Leiden University Medical Center)
image enhancement, image reconstruction, inverse problems, magnetic resonance imaging, numerical linear algebra