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Dr Sjoerd Vos
University College London
90 High Holborn, first floor
United Kingdom
Dr Sjoerd Vos profile picture
  • Lecturer in Quantitative Neuroradiology
  • Dept of Computer Science
  • Faculty of Engineering Science

Sjoerd obtained his BSc in Medical Natural Sciences and MSc in Medical Physics from the VU University Amsterdam, the Netherlands. After graduation he started as a PhD student at the PROVIDI lab, part of the Image Sciences Institute in September 2009. The focus in his project was on the analysis of diffusion MRI data, more specifically diffusion tensor MRI (DT-MRI) and high angular resolution diffusion imaging (HARDI). These techniques can be used to investigate the microstructural organisation in the human brain. The aim of his project is to improve quantitative and qualitative analyses of these scans. During his PhD he spent six months at the Radiological Sciences Lab and the Center for Quantitative Neuroimaging at Stanford University, where he worked with Roland Bammer on high-resolution DWI acquisitions.

After his PhD, he did short-term post-doctoral research working closely with the Neurology department on improving the analysis of DTI data for Alzheimer's disease patients. Parallel to that, he was also affiliated to the ENT department (ear, nose, throat) to improve the imaging and analysis of diffusion MRI data to image the auditory nerve.

Research Themes
Research Summary

In March 2014, Sjoerd joined the Centre for Medical Image Computing (CMIC), where he worked together with the Epilepsy department at UCL's Institute of Neurology to improve MR imaging and image analysis for presurgical evaluation, surgical planning, and intra-operative in epilepsy patients.

From September 2019, he is now a lecturer at CMIC and the department of Neuroradiology at UCL's ION. This joint appointment is set to facilitate the translation of quantitative imaging techniques and image analysis methods into routine clinical use. This includes volumetry analyses for dementia patients, volumetry and relaxometry of the hippocampus in epilepsy patients, and neurosurgical planning through the use of automated fibre tractography.

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