Assessment of tissue injury in severe brain trauma

Christophe Maggia, Senan Doyle, Florence Forbes, Olivier Heck, Irène Troprès, Corentin Berthet, Yann Teyssier, Lionel Velly, Jean François Payen, Michel Dojat

Research output: Contribution to journalEditorialpeer-review

1 Scopus citations


We report our methodological developments to investigate, in a multi-center study using mean diffusivity, the tissue damage caused by a severe traumatic brain injury (GSC < 9) in the 10 days postevent. To assess the diffuse aspect of the injury, we fuse several atlases to parcel cortical, subcortical andWM structures into well identified regions where MD values are computed and compared to normative values. We used P-LOCUS to provide brain tissue segmentation and exclude voxels labeled as CSF, ventricles and hemorrhagic lesion and then automatically detect the lesion load. Preliminary results demonstrate that our method is coherent with expert opinion in the identification of lesions. We outline the challenges posed in automatic analysis for TBI.

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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