Online longitudinal MS lesion segmentation using FLAIR only images (FIFO Queue)


This pipeline uses the preprocessing steps from the boundary shift integral pipeline to detect new lesions, which are refined by a gradient boosting classifier. This version has been optimised for working with 3D FLAIR MR images. The baseline lesion segmentation needs to be provided and it can be computed using this tool.

The results will be sent to the following e-mail address:


Select files (Maximum of 10 files with 100 Mb each in .nii or nii.gz formats):
[Select files - Baseline FLAIR images]
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Select files (Maximum of 10 files with 100 Mb each in .nii or nii.gz formats):
[Select files - Follow-up FLAIR images]
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Select files (Maximum of 10 files with 100 Mb each in .nii or nii.gz formats):
[Select files - Baseline lesion masks]
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 By filling in this form I agree to have the provided email address stored in order to use it as email address to send the requested results. I allow use of this email address for contacting me about the project. I understand that NiftyWeb will not disclose this information to any other parties.

Upload files and run the new ms lesion segmentation



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Publications on this work:

We would appreciate it if the following references would be included in any published work that uses this resource:

  • Ferran Prados and Baris Kanber. Detecting new multiple sclerosis lesions using a mixed approach. MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure. MICCAI 2021.
  • Ferran Prados, M. Jorge Cardoso, Ninon Burgos, Claudia AM Wheeler-Kingshott, Sebastien Ourselin. NiftyWeb: web based platform for image processing on the cloud. International Society for Magnetic Resonance in Medicine (ISMRM) 24th Scientific Meeting and Exhibition - Singapore 2016
  • http://niftyweb.cs.ucl.ac.uk/

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