Neuro biomarkers and tools (MRI)

Through participation in large scale European projects, public private collaborations and bilateral research agreements with leading research organisations, we can provide services in a wide range of quantitative analysis problems in the neuro domain, supporting population and clinical research in e.g. dementia and other neurological diseases.

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Examples of quantitative imaging biomarkers and tools include:

  • Quantification of brain tissue and CSF volumes
  • Quantification of brain lobe volumes
  • Quantification of white matter hyperintensities
  • Microbleed detection
  • Detection of enlarged Virchow Robin spaces
  • Arterial Spin Labeling (ASL-MRI) based cerebral blood flow measurements
  • Analysis of DW-MRI measures
  • Automatic tract segmentation in DW-MRI
  • Structural connectivity mapping (DW-MRI)
  • Functional connectivity mapping ((resting state) fMRI)
  • Segmentation of neurostructures
  • Shape analysis of neurostructures



Scientific references

Many of these biomarkers have been documented in peer reviewed papers, thoroughly validated, and applied in the context of population and clinical imaging studies.

  • W. Niessen, MR brain image analysis in dementia: From quantitative imaging biomarkers to ageing brain models and imaging genetics, Medical Image Analysis, 2016
  • H.A. Vrooman, et al., Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification, NeuroImage, 2007
  • R. de Boer, et al., White matter lesion extension to automatic brain tissue segmentation on MRI, NeuroImage, 2009
  • R.M.E Steketee, et al., Quantitative functional arterial spin labeling (fASL) MRI - sensitivity and reproducibility of regional CBF changes using pseudo-continuous ASL product sequences, PLoS ONE, 2015
  • M. de Groot, et al., White Matter Degeneration with Aging: Longitudinal Diffusion MR Imaging Analysis, Radiology, 2016
  • M. de Groot, et al., Changes in normal-appearing white matter precede development of white matter lesions, Stroke, 2013
  • M. de Groot, et al., Tract-specific white matter degeneration in aging. The Rotterdam Study, Alzheimer's & Dementia, 2015
  • R. de Boer, et al., Statistical analysis of minimum cost path based structural brain connectivity, NeuroImage, 2011
  • H.C. Achterberg, et al., Hippocampal shape is predictive for the development of dementia in a normal, elderly population, Human Brain Mapping, 2014
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