Section: Software and Platforms

The P-LOCUS software

Participants : Florence Forbes, Senan James Doyle, Flor Vasseur.

Joint work with: Michel Dojat.

The Locus software was extended to address the delineation of lesions in pathological brains. Its extension P-LOCUS (http://p-locus.com ) for lesion detection was realized by S. Doyle with financial support from Gravit with the goal to create a Start-up. P-LOCUS software analyses, in few minutes, a 3D MR brain scan and performs fully automatic brain lesion delineation using a combined dataset of various 3D MRI sequences. Its originality comes from:

  • it is fully automatic: no external user interaction and no training data required

  • the possibility to combine information from several images (MR sequences)

  • a statistical Bayesian framework for robustness to image artefacts and a priori knowledge incorporation

  • a voxel-based clustering technique that uses Markov random fields (MRF) incorporating information about neighboring voxels for spatial consistency and robustness to imperfect image features (noise).

  • the possibility to select and incorporate relevant a priori knowledge via different atlases, e.g. tissue and vascular territory atlases

  • a fully integrated preprocessing steps and lesion ROI identification

P-LOCUS software was presented at various conferences and used for the BRATS Challenge on tumor segmentation organized as a satellite challenge of the Miccai conference in Nagoya, Japan. A paper submitted to IEEE trans. on Medical Imaging reports the challenge results [62] .