Correction of Magnetic Field Inhomogeneity Effects Using Conjugate Phase Reconstruction

Master Thesis (2022)
Author(s)

Aggariyo Aggariyo Wanagiri (TU Delft - Mechanical Engineering)

Contributor(s)

Rob Remis – Mentor (TU Delft - Signal Processing Systems)

Kirsten Koolstra – Mentor (Leiden University Medical Center)

N.V. Budko – Graduation committee member (TU Delft - Numerical Analysis)

Faculty
Mechanical Engineering
Copyright
© 2022 Aggariyo Aggariyo Wanagiri
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Aggariyo Aggariyo Wanagiri
Graduation Date
31-05-2022
Awarding Institution
Delft University of Technology
Project
Low-Field MRI
Programme
Biomedical Engineering
Faculty
Mechanical Engineering
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Abstract

Low field magnetic resonance imaging (MRI) scanners provide a unique low-cost alternative to conventional MRI scanners. Nevertheless, low-field scanners come with drawbacks such as reduced signal-to-noise ratio and resolution, and also distorted images caused by magnetic field inhomogeneity and non-linear gradient fields. Despite this, it still provides a more accessible way to provide MRI in resource-limited areas. The main goal of this thesis is to develop an algorithm that can reconstruct 3D data from the low-field scanner efficiently and without distortion to the image. To do this, conjugate phase reconstruction (CPR) is employed, particularly frequency segmented reconstruction (Noll, 1991) and multifrequency interpolation (Man et al., 1997).

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