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.
CITATION STYLE
Thiebaut Lonjaret, L., Bakhous, C., Boutelier, T., Takerkart, S., & Coulon, O. (2017). ISA - An inverse surface-based approach for cortical fMRI data projection. In Proceedings - International Symposium on Biomedical Imaging (pp. 1104–1107). IEEE Computer Society. https://doi.org/10.1109/ISBI.2017.7950709
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