ISA -AN INVERSE SURFACE-BASED APPROACH FOR CORTICAL FMRI DATA PROJECTION

Lucie Thiébaut Lonjaret (1, 2, 3) , Christine Bakhous (1) , Timothé Boutelier (1) , Sylvain Takerkart (2) , Olivier Coulon (2, 3)

1 Olea Medical [La Ciotat]
2 INT - Institut de Neurosciences de la Timone
3 LSIS - Laboratoire des Sciences de l'Information et des Systèmes

Surface-based approaches have proven particularly relevant and reliable to study cortical functional magnetic resonance imaging (fMRI) data. However projecting fMRI volumes onto the cortical surface remains a challenging problem. Very few methods have been proposed to solve it and most of them rely on a simple interpolation. We propose here an original surface-based method based on a model representing the relationship between cortical activity and fMRI images, and a resolution through an inverse problem. This approach shows interesting perspectives for fMRI data processing as it is highly robust to noise and offers a good accuracy in terms of activations localization.

Mots clés: fMRI; surface-based method; in- verse problem; signal reconstruction

Domaines: Traitement du signal et de l'image [eess.SP]; Imagerie

Lucie Thiébaut Lonjaret, Christine Bakhous, Timothé Boutelier, Sylvain Takerkart, Olivier Coulon. ISA -AN INVERSE SURFACE-BASED APPROACH FOR CORTICAL FMRI DATA PROJECTION. IEEE International Symposium on Biomedical Imaging ISBI 2017, 2017, Melbourne, Australia. ⟨hal-01464166⟩