A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI

arXiv:2311.11383v3 Announce Type: replace
Abstract: Diffusion probabilistic models (DPMs) which employ explicit likelihood characterization and a gradual sampling process to synthesize data, have gained increasing research interest. Despite their huge computational burdens due to the large number of steps involved during sampling, DPMs are widely appreciated in various medical imaging tasks for their high-quality and diversity of generation. Magnetic resonance imaging (MRI) is an important medical imaging modality with excellent soft tissue contrast and superb spatial resolution, which possesses unique …

abstract applications arxiv computational cs.cv data diffusion likelihood medical mri process research sampling survey type