Generating fMRI volumes from T1-weighted volumes using 3D CycleGAN
This addresses a domain-specific problem in medical imaging for researchers or clinicians dealing with fMRI-T1 registration, but it appears incremental as it applies an existing method (CycleGAN) to a new data type.
The paper tackled the challenge of registering fMRI and T1-weighted volumes due to geometric distortions in fMRI, and showed that 3D CycleGAN can synthesize fMRI volumes from T1-weighted volumes and vice versa to facilitate registration.
Registration between an fMRI volume and a T1-weighted volume is challenging, since fMRI volumes contain geometric distortions. Here we present preliminary results showing that 3D CycleGAN can be used to synthesize fMRI volumes from T1-weighted volumes, and vice versa, which can facilitate registration.