Keywords: Artifacts, fMRI (resting state), Distortion correction; Imaging translation
Motivation: State-of-the-art correction of field inhomogeneity induced image distortion in EPI based fMRI images usually depends on additional scans, which might be compromised by subject motion.
Goal(s): To develop correction distortion method for BOLD image without field map or reversed phase encoding direction acquisition.
Approach: We introduce a novel approach leveraging using a 3D self-attention conditional generative adversarial network (SC-GAN) and iterative registration to correct fMRI distortion with distorted fMRI and structural MRI.
Results: Visual and quantitative results indicate that our method effectively correct fMRI distortion without any additional scan. The correction improves after iteration.
Impact: Our approach leverage image synthesis for EPI based fMRI distortion correction, which bypass the need for additional scans, and prevent potential inaccuracy due to motion. This approach may help improve fMRI preprocessing.
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