Logo PTB

Student work

Title
Validation of RF-field mapping methods at a 7T ultra high field MR scanner
Published on
11/06/2020
Reference number
20.14.814
Category
Master Thesis
Description

Our research group develops new methods for magnetic resonance imaging (MRI) at ultra-high magnetic fields (e.g. B0=7T). Our main research goal is to be able to use the higher signal-to-noise ratio at ultra-high fields for human in-vivo applications. A major challenge at ultra-high fields is given by the spatial heterogeneity of the radiofrequency (RF) fields that are required for spin excitation, since this heterogeneity leads to spatial variations of the signal in the images. To quantify and compensate this effect, RF field maps are measured, whereas the precision and accuracy of those maps are essential. During your work you will support our group in generating and comparing such field maps of different mapping methods. Furthermore, you will optimize the method and establish a reproducible measurement routine.

 

The aim of this work is to apply, optimize and quantify the precision of available measurement methods to determine the RF-field distribution of a coil with 8 transmitting elements at a 3 Tesla and a 7 Tesla system. Those mapping methods will be first applied in phantom measurements at a 7T MRI scanner, and subsequently validated by magnetic field probe measurements as well as numerical finite differential methods. Lastly, in-vivo scans at the human head are planned.

Job Requirements

·

  • Physics, electrical engineering, computer science, medical technology or a comparable course of studies
  • Programming skills (preferably in Matlab/Python and C/C++)
  • Interest in MR physics

 

Place of employment
Berlin
Organisational unit
Div. 8 "Medical Physics and Metrological Information Technology"
Are you interested?

 

Dr. Sebastian Schmitter
Tel.: +49 30/3481-7767
Email: sebastian.schmitter(at)ptb.de

or

Natalie Schön
Tel.: +49 30/3481-7781
Email: natalie.schoen(at)ptb.de

 

 

Research group 8.14 Ultrahigh Field MRI