Tian Yu,1 Leon Y. Cai,1 Victoria L. Morgan,1,2 Sarah E. Goodale,1 Dario J. Englot,1,2 Catherine E. Chang,1,2 Bennett A. Landmanhttps://orcid.org/0000-0001-5733-2127,1,2 Kurt G. Schilling1,2
1Vanderbilt Univ. (United States) 2Vanderbilt Univ. Medical Ctr. (United States)
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Functional MRI (fMRI) suffers from susceptibility-induced geometric distortions. Current state-of-the-art distortion correction methods require reverse phase encoded images or additional field maps, but not all imaging protocols include these additional scans. We propose SynBOLD-DisCo to enable state-of-the-art distortion correction of single phase encoded fMRI using only an additional structural image. We use a 3D U-net to synthesize undistorted fMRI images from the structural image and use this undistorted synthetic image as an anatomical target for distortion correction with state-of-the-art methods. We demonstrate SynBOLD-DisCo produces results qualitatively and quantitatively equivalent to state-of-the-art correction methods without the need for additional calibration scans.
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Tian Yu, Leon Y. Cai, Victoria L. Morgan, Sarah E. Goodale, Dario J. Englot, Catherine E. Chang, Bennett A. Landman, Kurt G. Schilling, "SynBOLD-DisCo: synthetic BOLD images for distortion correction of fMRI without additional calibration scans," Proc. SPIE 12464, Medical Imaging 2023: Image Processing, 1246417 (3 April 2023); https://doi.org/10.1117/12.2653647