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

Abstract : 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.
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Submitted on : Friday, February 10, 2017 - 9:25:12 AM
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Lucie 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⟩

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