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Dr Sjoerd Vos
University College London
Malet Place Engineering Building
United Kingdom
  • Research Associate
  • Dept of Med Phys & Biomedical Eng
  • 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 Groups
Research Summary
Since March 2014, Sjoerd is working jointly at the TIG and the MRI Unit at the Epilepsy Society, with the goal to improve MR imaging for presurgical evaluation, surgical planning, and intra-operative in epilepsy patients. This will mainly focus on structural imaging, both conventional T1/T2/FLAIR as well as diffusion MRI. The work on presurgical evaluation will include research into new markers of previously undetectable epileptogenic foci, where the microstructural information from diffusion MRI could provide unique information on the location and structure of the focus. For surgical planning and intra-operative MRI, the use of higher-resolution and less-distorted diffusion MRI data may be beneficial to accurately reconstruct fiber bundles using fiber tractography.
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