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Detail

Simon Robinson
Assoc. Prof. Dr. Simon Robinson, MSc, BSc

Department of Biomedical Imaging and Image-guided Therapy
Position: Associate Professor

ORCID: 0000-0001-7463-5162
T +43 1 40400 64680
simon.robinson@meduniwien.ac.at

Further Information

Keywords

Functional Magnetic Resonance; Magnetic Resonance Imaging; Ultrahigh field MRI

Research group(s)

Research interests

I work on the development of ultra-high field (7 Tesla) functional Magnetic Resonance Imaging (fMRI) and Quantitative Susceptibility Mapping (QSM) methods for clinical application. 

fMRI allows neuronal activation to be detected and localised. As well as being a central tool to understanding the human brain in the neurosciences, fMRI can be used prior to surgery to identify regions of the brain which the neurosurgeon must spare in order to ensure that the patient does not suffer from postoperative deficits. fMRI at 7 Tesla is more sensitive than at lower field strengths, but images also suffer from distortion, which needs to be corrected if activation is to be localised correctly. Part of our work involves the implementation of methods for correcting these distortions. QSM uses a generally neglected property of the MR signal, the phase, to enhance the contrast in veins and other structures containing iron. Ultra-high field MRI is highly sensitive to iron, allowing exquisite, high resolution images of the venous vessels of the brain to be generated. Our group works on the combination of phase images from the many small coils which make up a modern 'phased array' head coil. 

Techniques, methods & infrastructure

I work with the 7T and 3T MRI scanners at the High Field MR Centre at the Medical University of Vienna.

Selected publications

  1. Dymerska, B. et al., 2017. In vivo phase imaging of human epiphyseal cartilage at 7 T. Magnetic Resonance in Medicine, 79(4), pp.2149-2155. Available at: http://dx.doi.org/10.1002/mrm.26858.
  2. Eckstein, K. et al., 2017. Computationally Efficient Combination of Multi-channel Phase Data From Multi-echo Acquisitions (ASPIRE). Magnetic Resonance in Medicine, 79(6), pp.2996-3006. Available at: http://dx.doi.org/10.1002/mrm.26963.
  3. Lima Cardoso, P. et al., 2017. Robust presurgical functional MRI at 7 T using response consistency. Human Brain Mapping, 38(6), pp.3163-3174. Available at: http://dx.doi.org/10.1002/hbm.23582.
  4. Robinson, S.D. et al., 2015. Combining phase images from array coils using a short echo time reference scan (COMPOSER). Magnetic Resonance in Medicine, 77(1), pp.318-327. Available at: http://dx.doi.org/10.1002/mrm.26093.
  5. Lima Cardoso, P. et al., 2018. The clinical relevance of distortion correction in presurgical fMRI at 7 T. NeuroImage, 168, pp.490-498. Available at: http://dx.doi.org/10.1016/j.neuroimage.2016.12.070.