fMRI denoising for high-resolution brain functional analysis
We developed and applied semi-supervised dictionary learning method to effectively increase the signal-to-noise Ratio (SNR) of the functional Magnetic Resonance Imaging (fMRI) signals. The denoising process is the foundation for later high-resolution brain functional analysis, including pin-pointing the functional localization results (as shown in the figure) and more clear brain network maps.
Related Publications:
Sparse Representation-Based Denoising for High-Resolution Brain Activation and Functional Connectivity Modeling: A Task fMRI Study, IEEE Access, 2020