Functional MRI (fMRI) can have signal dropout due to off-resonance at susceptibility interfaces between air and tissue. Partial Fourier reconstruction is used for fMRI since it reduces scan time, however, existing partial Fourier reconstruction is vulnerable to off-resonance. In a previous study, we introduced a new partial Fourier reconstruction (even/odd (E/O)) and showed the new method was more robust to off-resonance compared to homodyne through simulation from fully sampled data. In this study, we acquired subsampled hypercapnia task fMRI data using both homodyne and E/O and showed there is less signal dropout and higher activation with E/O.
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