Accelerated motion correction with deep generative diffusion models
Author:
Affiliation:
1. Chandra Family Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas USA
2. Electrical Engineering and Computer Sciences University of California at Berkeley Berkeley California USA
Abstract
Funder
Army Research Office
National Science Foundation
Oracle
National Institutes of Health
Publisher
Wiley
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.30082
Reference60 articles.
1. LevacB JalalA TamirJI.Accelerated motion correction for mri using score‐based generative models. Paper presented at: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).2023a:1‐5. doi:10.1109/ISBI53787.2023.10230457
2. LevacB JalalA TamirJI.Motion robust reconstruction with score‐based generative models. Paper presented at: ISMRM Workshop on Data Sampling and Image Reconstruction. vol.1.2023b.
3. Generalized autocalibrating partially parallel acquisitions (GRAPPA)
4. Simultaneous acquisition of spatial harmonics (SMASH): Fast imaging with radiofrequency coil arrays
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