Publicily Available Scan Database
The MIRIAD dataset is a database of volumetric MRI brain-scans of Alzheimer's sufferers and healthy elderly people. Many scans were collected of each participant at intervals from 2 weeks to 2 years, the study was designed to investigate the feasibility of using MRI as an outcome measure for clinical trials of Alzheimer's treatments. Including:
- To find the minimal interval over which trials would need to be conducted.
- To assess whether combining more than two scanning time points would increase statistical power and, if so, the optimal combination and timing of scans for trials of varying lengths.
- To provide a means of assessing the reproducibility of techniques within a single day and over short intervals where changes in individual's hydration and scanner fluctuations, but not pathological atrophy, might be expected.
These scans, together with demographic and psychological data, are now publicly available in anonymised form to aid researchers in developing new techniques for the analysis of serially acquired MRI.
- Demographics and Scanning Timepoints
ٱDz Alzheimer's Disease
(N=46)Controls
(N=23)Age at study entry (years) 69.4±7.1 69.7±7.2 Men 41% 52% Mean (SD) baseline MMSE 19.2±4 29.4±0.8 All subjects were requested to attend seven imaging visits at 0, 2, 6, 14, 26, 38 and 52 weeks from baseline. 39 subjects who completed all these visits during the study attended a further scan at 18 months, 22 of these had a further scan at 24 months. At 0, 6 and 38 weeks two back-to-back scans were conducted.
Timing of visits Mean interval days from baseline 0 16 43 98 180 270 365 552 730 (SD) (5) (6) (8) (7) (19) (14) (18) (10) Subjects scanned 68 66 67 68 66 60 67 39 22 (patients) (45) (44) (45) (46) (44) (38) (44) (26) (14) Scans completed 133 66 130 68 66 117 67 39 22 All scans were conducted on the same 1.5 T Signa MRI scanner (GE Medical systems, Milwaukee, WI) and acquired by the same radiographer. Three-dimensional T1-weighted images were acquired with an IR-FSPGR (inversion recovery prepared fast spoiled gradient recalled) sequence, field of view 24 cm, 256 × 256 matrix, 124 1.5 mm coronal partitions, TR 15 ms, TE 5.4 ms, flip angle 15°, TI 650 ms.
- Data use agreement
All data is available through the .
By registering and downloading data from this site, users agree to the following:
- Users shall respect restrictions of access to sensitive data. Users will not attempt to identify the individuals whose images are included in the data set.
- Redistribution of these data to third parties is not permitted without prior agreement.
- Whilst every effort will be made to ensure the quality and completeness of the data, this cannot be guaranteed. Users employ these data at their own risk.
- Users must acknowledge the use of these data and data derived from this dataset when publicly presenting any findings or algorithms that benefited from their use. Such presentations include but are not limited to papers, books, book chapters, conference posters, and talks.
- When publishing findings that benefit from these data, users agree to:
- Reference this publication, describing the release of the data:.
- Include this statement in the acknowledgements: "Data used in the preparation of this article were obtained from the . The MIRIAD investigators did not participate in analysis or writing of this report. The MIRIAD dataset is made available through the support of the (Grant RF116). The original data collection was funded through an unrestricted educational grant from GlaxoSmithKline (Grant 6GKC)."
- Send a copy of the accepted manuscript to drc-miriad@ucl.ac.uk
- Downloading the Data
Scans
Images can be downloaded from the by selecting the MIRIAD project followed by the Download Images action on the right.
For convenience a TAR file containing all the images can be . (You must first log in to the XNAT database to access this.)
Psychology and demographic data
After logging in, on the MIRIAD XNAT page add the ClinicalAsessment and MR Sessions tabs if they aren't present by using the SELECT drop-down menu. The full dataset can be saved by selecting Spreadsheet in the Options drop-down menu at the right-hand side of the listing. Your browser should offer to save or open the resulting CSV file.
ClinicalAssessment gives MMSE for each visit and CDR score and sum of boxes at screening for Alzheimer's participants.
MR Sessions lists age at each scan (to two decimal places), group (AD/controls) and gender.
Blinding codes
The blinding codes from the MICCAI 2012 atrophy measurement challenge are available as a csv file.
- Publications
An overview of the MIRIAD demographics and publications is published in
The following list of publications which have made use of the data may be of use to researchers with particular interests:
Atrophy in dementia Cerebral atrophy measurements using Jacobian integration Patterns of Cortical Thickness according to APOE Genotype in Alzheimer's Disease Issues with threshold masking in voxel-based morphometry of atrophied brains Improved Maximum a Posteriori Cortical Segmentation by Iterative Relaxation of Priors Gray matter atrophy rate as a marker of disease progression in AD Medial–temporal lobe atrophy Does Alzheimer's Disease Affect Hippocampal Asymmetry? Evidence from a Cross-Sectional and Longitudinal Volumetric MRI Study Automatic calculation of hippocampal atrophy rates using a hippocampal template and the boundary shift integral Automated measurement of hippocampal atrophy using fluid-registered serial MRI in AD and controls Application of automated medial temporal lobe atrophy scale to Alzheimer disease A comparison of methods for the automated calculation of volumes and atrophy rates in the hippocampus Increased hippocampal atrophy rates in AD over 6 months using serial MR imaging Head size, age and gender adjustment in MRI studies: A necessary nuisance? Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease Simulation studies An Inverse Problem Approach to the Estimation of Volume Change Simulation of Local and Global Atrophy in Alzheimer's Disease Studies Phenomenological Model of Diffuse Global and Regional Atrophy Using Finite-Element Methods Simulation of Acquisition Artefacts in MR Scans: Effects on Automatic Measures of Brain Atrophy Accuracy Assessment of Global and Local Atrophy Measurement Techniques with Realistic Simulated Longitudinal Data Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal Alzheimer's disease images Clinical trials design Using nine degrees-of-freedom registration to correct for changes in voxel size in serial MRI studies Measuring atrophy in Alzheimer disease A serial MRI study over 6 and 12 months Combining short interval MRI in Alzheimer's disease Optimizing the design of clinical trials where the outcome is a rate. Can estimating a baseline rate in a run-in period increase efficiency? Neuropsychological correlates of whole brain atrophy in Alzheimer's disease Methods comparison Longitudinal and cross-sectional analysis of atrophy in Alzheimer's disease: Cross-validation of BSI, SIENA and SIENAX A comparison of voxel and surface based cortical thickness estimation methods
- Acknowledgements
This dataset is made available through the support of the . The original data collection was funded through an unrestricted educational grant from and funding from the UK Alzheimer's Society (to Dr Schott) and the (to Professor Fox). Professor Ourselin receives funding from the (EP/H046410/1) and the Comprehensive Biomedical Research Centre (CBRC) Strategic Investment Award (Ref. 168). Dr Ridgway is supported by the Medical Research Council [grant number MR/J014257/1]. This work was supported by the (NIHR) Biomedical Research Unit in Dementia based at University College London Hospitals (UCLH), University College London (UCL). The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health. The Dementia Research Centre is an Alzheimer's Research UK (ARUK) Coordinating Centre. The Wellcome Trust Centre for Neuroimaging is supported by core funding from the [grant number 091593/Z/10/Z]. We are grateful to the MIRIAD participants and funders for their willingness to share these data.