MotionDPS is a unified Bayesian framework for motion-compensated 3D MRI reconstruction that alternates diffusion posterior updates with proximal optimization for rigid motion and coil sensitivity estimation using pretrained 3D complex-valued score-based diffusion models as anatomical priors.
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MotionDPS: Motion-Compensated 3D Brain MRI Reconstruction
MotionDPS is a unified Bayesian framework for motion-compensated 3D MRI reconstruction that alternates diffusion posterior updates with proximal optimization for rigid motion and coil sensitivity estimation using pretrained 3D complex-valued score-based diffusion models as anatomical priors.