Dr Lars Mueller

Research Associate

Research group:
Imaging Science
Email:
muellerl@cardiff.ac.uk
Telephone:
029 208 74000
Extension:
20054
Location:
CUBRIC

Research summary

My research is focused on the development of new techniques (sequences) for magnetic resonance imaging (MRI). The goal is to use the full potential of the different MRI machines in CUBRIC. To this end I am developing a different method for the image acquisition, called spiral imaging. This allows the use of shorter echo times and therefore opens the way to new types of contrasts for example in diffusion imaging.

Selected publications (2014 onwards)

 

Full list of publications

 

Research topics and related papers

Standard diffusion weighted MRI suffers from the need for relatively long echo times (TE) due to the echo planar imaging (EPI) readout that is used for the image acquisition. The signal from water in different microscopic compartments decays at different rates. Due to the long TE, it is impossible to get direct information of the fast decaying water pools, e.g. inside the myelin sheath around the axons. I am developing a different image acquisition scheme, called spiral imaging, which allows for shorter TE and therefore potentially to also image the fast decaying water pools which would give new insight in the microstructure of the brain and allow for better modelling of the processes.
Additionally, the spiral readout can be used in other MRI measurements as well, like fMRI, sodium imaging or ASL.

Undergraduate education

Bachelor of Science in Physics at University of Konstanz, Konstanz, Germany (2008-2011)
Bachelor Thesis: “Examination of metal superconductors with a scanning tunneling microscope”

Postgraduate education

Master of Science in Physics at Heidelberg University, Heidelberg, Germany (2011-2013)
Master Thesis: “Double diffusion weighted magnetic resonance imaging: sequence development and determination of exchange rates”
PhD (Dr. rer. nat.) in Physics at Heidelberg University, Heidelberg, Germany (2013-2017)
PhD Thesis: “Improved Estimation of Microscopic Tissue Parameters by Double Diffusion Encoding and Flow-Compensated Single Diffusion Encoding Magnetic Resonance Imaging”