Keywords: fMRI Acquisition, fMRI (task based)
Motivation: By employing the PS-Sparse reconstruction, the 3D reduced field-of-view imaging with (k, t)-space undersampling (k-t 3D-rFOVI) can acquire fMRI data with high temporal and spatial resolutions.
Goal(s): This study aims to improve the data quality of k-t 3D-rFOVI-based fMRI by optimizing two key parameters in PS-Sparse reconstruction: the model order L and the sparsity regularization parameter λ.
Approach: k-t 3D-rFOVI images were reconstructed with various L and λ values and compared with the images with full k-space sampling (ground truth).
Results: PS-Sparse reconstruction with L/λ = 16/0 provided the best accuracy in recovering brain activation from the fMRI data.
Impact: The optimal parameters determined in this study improved the performance of PS-Sparse reconstruction on image quality, allowing accurate detection of brain activations in fMRI studies using k-t 3D-rFOVI.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords