Voxel-Wise Comparison with a-contrario Analysis for Automated Segmentation of Multiple Sclerosis Lesions from Multimodal MRI

  • Francesca GalassiEmail author
  • Olivier Commowick
  • Emmanuel Vallee
  • Christian Barillot
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11383)


We introduce a new framework for the automated and unsupervised segmentation of Multiple Sclerosis lesions from multimodal Magnetic Resonance images. It relies on a voxel-wise approach to detect local white matter abnormalities, with an a-contrario analysis, which takes into account local information. First, a voxel-wise comparison of multimodal patient images to a set of controls is performed. Then, region-based probabilities are estimated using an a-contrario approach. Finally, correction for multiple testing is performed. Validation was undertaken on a multi-site clinical dataset of 53 MS patients with various number and volume of lesions. We showed that the proposed framework outperforms the widely used FDR-correction for this type of analysis, particularly for low lesion loads.


Multiple Sclerosis Voxel-wise comparison a-contrario 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Francesca Galassi
    • 1
    Email author
  • Olivier Commowick
    • 1
  • Emmanuel Vallee
    • 2
  • Christian Barillot
    • 1
  1. 1.Inria, CNRS, Inserm, IRISA, VisAGeSRennesFrance
  2. 2.FMRIB, NDCNUniversity of OxfordOxfordUK

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