Super-resolution image reconstruction for inexpensive mri

Poster (2018)
Author(s)

Merel de Leeuw den Bouter (TU Delft - Numerical Analysis)

Rob Remis (TU Delft - Signal Processing Systems)

M. B. van Gijzen (TU Delft - Numerical Analysis)

Andrew Webb (Leiden University Medical Center)

Research Group
Numerical Analysis
More Info
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Publication Year
2018
Language
English
Research Group
Numerical Analysis
Pages (from-to)
164-164

Abstract

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.

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