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Motion Compensated Unsupervised Deep Learning for 5D MRI
The deformation maps and the template are then jointly estimated from the measured data.
Joint alignment and reconstruction of multislice dynamic MRI using variational manifold learning
Free-breathing cardiac MRI schemes are emerging as competitive alternatives to breath-held cine MRI protocols, enabling applicability to pediatric and other population groups that cannot hold their breath.
Variational manifold learning from incomplete data: application to multislice dynamic MRI
Most of the current self-gating and manifold cardiac MRI approaches consider the independent recovery of images from each slice; these methods are not capable of exploiting the inter-slice redundancies in the datasets and require sophisticated post-processing or manual approaches to align the images from different slices.
