Optimizing the gradient ring of a low-field MRI scanner

Bachelor Thesis (2019)
Author(s)

A.E. Meijer (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

MB Van Gijzen – Mentor (TU Delft - Numerical Analysis)

K. W.A. van Dongen – Mentor (ImPhys/Acoustical Wavefield Imaging )

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2019 Angeline Meijer
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Angeline Meijer
Graduation Date
27-08-2019
Awarding Institution
Delft University of Technology
Project
['Low-Field MRI']
Programme
['Applied Mathematics | Applied Physics']
Related content

MATLAB code for simulations and optimizations of magnetic fields

https://drive.google.com/file/d/1_LtmHls6hQagZijoIU91aKMsuKMfjWtR/view?usp=sharing
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

This report describes the study on the optimization of the magnetic field generated by a low-field magnetic resonance imaging modality. In the optimization the Genetic Algorithm and a quasi-Newton Algorithm are used.

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