Insight MS Longitudinal MRI dataset
Authors/Creators
- 1. 1. St Vincent's University Hospital, Dublin, Ireland
- 2. 2. Insight Centre for Data Analytics, UCD, Dublin, Ireland
- 3. 1. St Vincent's University Hospital, Dublin, Ireland1. St Vincent's University Hospital, Dublin, Ireland
Description
Multiple Sclerosis (MS) is an idiopathic chronic inflammatory demyelinating disease of the central nervous system. Timely and accurate diagnosis via the McDonald criteria improves outcome but relies heavily on radiologist interpretation of MRI studies. A growing body of research is focused on identifying new MS lesions on MRI by comparing one time point with another but only limited longitudinal data are available.
We present a dataset of which contains 496 scans of 172 patients with MS each with at least 2 time points including T1, Flair and T2 sequences. There are 110 stable scans and 214 instances of change. We also include demographic information. Data has been anonymised, processed and segmented with three stages of expert opinion contribute to ground truth.
Future research using this dataset could include new lesion identification, radiomic characterisation of new lesions, relationship with disease activity and brain atrophy and time series applications including prediction of new lesions and active learning for efficient segmentation.
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In response to the FAIR data policy the Health Research Board of Ireland (HRB) expect that data collected after 2020 and used in publicly funded research be made available to the research community (https://www.hrb.ie/funding/manage-a-grant/grant-policies/management-and-sharing-of-research-data/ ).
This dataset has been made wholly and irrecoverably anonymous.
Access would only be granted to suitable research after submission of an ethical application to the SVUH Research Ethics committee (svhgethics@ucd.ie). No data will be released without prior approval by this REC.
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Additional details
Funding
- Science Foundation Ireland
- INSIGHT_Phase 2 12/RC/2289_P2