The University of Edinburgh plays host to two major clinical imaging research facilities at BRIC and CRIC (Brain/Clinical Research Imaging Centres). These imaging facilities provide researchers with access to imaging equipment and the expertise to perform high quality clinical research using imaging.

BRIC currently houses a single MRI scanner plus significant image analysis and data management equipment. BRIC will be expanded to two MRIs in the near future running concurrently.

CRIC houses a Cyclotron/Radiochemistry facility, a PET/CT scanner, a CT scanner, a MRI scanner and the Image Analysis Core of the Edinburgh Clinical Research Facility. The University of Edinburgh has also been awarded funding to purchase and install an MR PET device into CRIC.

Edinburgh Imaging was established to bring together the imaging community across Edinburgh, to allow the sharing of knowledge, skills and facilities in order to advance biological knowledge from cradle to grave. Edinburgh Imaging is a virtual hub of expertise on medical imaging, pre-clinical imaging, neuroimaging for research, microscopy and imaging science education. Members of Edinburgh Imaging have worked together to develop the Edinburgh Imaging Academy (EIA), which is an online educational portal.

Sub-communities within this community

Collections in this community

  • BRAINS Imagebank

    Supplementary material for the BRAINS Imagebank
  • EEG

    contains software and datasets for EEG
  • Image Library

    Images generated by researchers at Edinburgh Imaging

Recent Submissions

  • Examples of Automated Cortical Parcellation 

    Mikhael, Shadia
    The figures presented show examples of anatomical variability and the resulting automated parcellation from different software (also included a diagram of our search for such software). Software packages for cortical ...
  • SUPERSEDED - Analysis of 4 Cortical Parcellation Protocols 

    Mikhael, Shadia
    ## This item has been superseded by the one which can be found at . ## Software packages for cortical parcellation generally combine tools which segment the brain into various regions, or ...
  • LIMO EEG v1.5 

    LIMO Team; Pernet, Cyril; Rousselet, Guillaume; Gaspar, Carl; Chauveau, Nicolas
    Magnetic- and electric-evoked brain responses have traditionally been analyzed by comparing the peaks or mean amplitudes of signals from selected channels and averaged across trials. More recently, tools have been developed ...
  • LIMO EEG Dataset 

    Guillaume, Rousselet
  • SUPERSEDED - Reference segmentations of white matter hyperintensities from a subset of 20 subjects scanned three consecutive years 

    Valdés Hernández, Maria
    SUPERSEDED - THIS ITEM HAS BEEN REPLACED BY This dataset contains structural magnetic resonance imaging (MRI)-derived data from 20 participants enrolled in the Alzheimer’s ...
  • MRI Variability in a Rat Model of Stroke 

    Milidonis, Xenios; McCabe, Chris; Macrae, Mhairi I.; Sena, Emily S.; Macleod, Malcolm R.; Marshall, Ian
    This dataset contains T2-weighted MRI scans of 21 different Sprague-Dawley rats that were subjected to permanent middle cerebral artery occlusion, as part of a study assessing the influence of gender in the progression of ...
  • Right eye retinal SLO image 

    Cameron, James; MacGillivray, Tom; Dhillon, Bal; Chandran, Siddharthan
    Scanning laser ophthalmoscope (SLO) high-resolution image of a healthy right eye retina, focused on the optic nerve head, and also showing the retinal blood vessels and macula. Analysis of the retina and blood vessels ...
  • Hippocampal manual segmentation 

    Anblagan, Devasuda; Deary, Ian; Wardlaw, Joanna
    When analyzing specific parts of the brain (here a region called the hippocampus, known to be involved in memory), it is often necessary to manually delineate these regions. The manual tracing here illustrates hippocampu ...
  • Brain Imaging of Normal Subjects (BRAINS) age-specific MRI atlases from young adults to the very elderly (v1.0) 

    Dickie, David Alexander; Job, Dominic E.; Rodriguez, David; Robson, Andrew; Danso, Samuel; Pernet, Cyril; Bastin, Mark E.; Deary, Ian J.; Shenkin, Susan D.; Wardlaw, Joanna M.
    We have developed seven age-specific atlases of T1 brain MRI from 25 to 92 years.
  • Archiving and Sharing Functional MRI data 

    Pernet, Cyril
    This document describes the file structure and metadata requirements followed in the collating of Edinburgh Imaging fMRI results and their preparation for online sharing, as at January 2016.
  • Archiving and Sharing Functional MRI data 

    Pernet, Cyril
    This document describes the file structure and metadata requirements followed in the collating of Edinburgh Imaging fMRI results and their preparation for online sharing, as at July 2015.
  • The human Voice Areas: spatial organisation and inter-individual variability in temporal and extra-temporal cortices. 

    Pernet CR; Belin P
    Abstract: FMRI studies increasingly examine functions and properties of non-primary areas of human auditory cortex. However there is currently no standardized localization procedure to reliably identify specific areas ...
  • A test-retest fMRI dataset for motor, language and spatial attention functions 

    Gorgolewski KJ; Storkey A; Bastin ME; Whittle IR; Wardlaw JM; Pernet CR
    A test-retest dataset was acquired to validate fMRI tasks used in pre-surgical planning. In particular, five task-related fMRI time series (finger, foot and lip movement, overt verb generation, covert verb generation, overt ...