Master's Thesis Position: Development of control system software for a very
low field MRI system
Department of Electrical Engineering and Automation, Electromagnetics in
health technologies group, is looking for a Master thesis worker in the topic
Magnetic resonance imaging (MRI) is one of the best ways of examining body
tissue and obtaining information about injuries and illnesses. However, MRI
scanners are typically large, heavy, and very expensive devices. In the
accessible MRI (AMRI) project of Aalto University, a new type of MRI
technology is developed, which enables lighter, cheaper, and more mobile
solutions for future imaging applications.
The first prototype device of the AMRI project is currently being built and
testing of its subsystems has commenced. The prototype is a low-field MRI
device which is based on permanent magnets. To acquire magnetic resonance
images, particular settings of pulse sequences are used. These sequences
include radio frequency pulses to excite nuclear spins and gradient field
pulses for spatial information encoding.
In this MSc thesis, the tasks of the candidate are:
1) to develop and test a data acquisition system for MRI signals, based on NI
PXI digital oscilloscopes and LabVIEW software,
2) to integrate the data acquisition system with the generation of waveforms
for the RF excitation and gradient coils with a programmable arbitrary
waveform generator (Zurich Instrument HDAWG) controlled with LabOne/LabVIEW
3) to develop an interface to control the imaging parameters and to transfer
MRI algorithms from other software (e.g. MATLAB) to the system,
4) to design test sequences for the device, e.g., to measure magnetic field
strength and to control and tune the biasing and shimming coils of the MRI
5) to test the complete system with MRI sequences.
● Only students of Aalto University can apply
● We expect that the candidate has good LabVIEW and MATLAB skills
● Knowledge in MRI and electronic measurements are considered as advantages.
The earliest start date is the February 1, 2022, and the duration of the work
is six months.
How to apply
Please submit your application through our recruiting system and include the
following documents in English in a single pdf document; cover letter, CV and
transcript of study records.
The deadline for applications is the January 31, 2022.
Please note: Aalto University's employees and visitors should apply for the
position via our internal system Workday - > find jobs (not external aalto.fi
webpage of open positions) by using their existing Workday user account.
For more information, please contact Professor Ilkka Laakso
(Ilkka.email@example.com) or Dr Janne Holma (firstname.lastname@example.org).
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