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Philipp Lazen
Dipl.-Ing. Philipp Lazen

Department of Biomedical Imaging and Image-guided Therapy, Department of Neurosurgery
Position: PHD Student

ORCID: 0000-0002-9952-3084
T +43 1 40400 64710


Magnetic Resonance Spectroscopy; Ultrahigh field MRI

Research group(s)

Research interests

Over the course of my academic studies, I have discovered a deep interest in the applications of physics in medical imaging. Fortunately, I received the opportunity to work in Prof Bogner's group under the supervision of Dr Hangel at the MR center in 2018, and I have been part of the team ever since. Our work is focused on the development of magnetic resonance spectroscopic imaging (MRSI), and working at the MR center offers us the opportunity to conduct research on this state-of-the-art modality.

For my master's thesis, I developed a pulse simulation model which can be used to test and assess different excitation pulses. Additionally, I have contributed to the post processing pipeline which is used for the evaluation of our 7T MRSI acquisitions.

Currently, I am focusing on various approaches towards improving MRSI, such as the application of higher order shim coils as well as B1+ inhomogeneity correction and motion correction. Additionally, I am involved in various clinical studies involving clinical patients and healthy volunteers. As such, my work unites aspects of software development and coding, data science and analysis, and biology and medicine. While challenging, this combination is also very exciting, interesting and enjoyable. 

Techniques, methods & infrastructure

  • MRI and MRSI at 3T and 7T
  • Data Processing and Evaluation in MRSI
  • Patient and Volunteer Studies
  • Coding (Bash, MATLAB, R)

Selected publications

  1. Hangel, G. et al. (2022) 'Emerging methods and applications of ultra-high field MR spectroscopic imaging in the human brain', Anal Biochem, 2022 Feb 1;638:114479. doi: 10.1016/j.ab.2021.114479
  2. Hangel, G. et al. (2021) ‘Inter‐subject stability and regional concentration estimates of 3D‐FID‐MRSI in the human brain at 7 T’, NMR in Biomedicine, 34(12).
  3. Hangel, G. et al. (2020) 'High-resolution metabolic imaging of high-grade gliomas using 7T-CRT-FID-MRSI', Neuroimage Clin. 2020;28:102433. doi: 10.1016/j.nicl.2020.102433