Presentation + Paper
3 April 2023 SynBOLD-DisCo: synthetic BOLD images for distortion correction of fMRI without additional calibration scans
Author Affiliations +
Abstract
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.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tian Yu, Leon Y. Cai, Victoria L. Morgan, Sarah E. Goodale, Dario J. Englot, Catherine E. Chang, Bennett A. Landman, and 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
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KEYWORDS
Distortion

Magnetic resonance imaging

Functional magnetic resonance imaging

Brain

Neuroimaging

Visualization

Image processing

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