An end-to-end deep learning framework jointly trains adaptive k-space sampling, reconstruction, and deformable registration for dynamic MRI, improving registered-image similarity to a reference at 4x to 8x acceleration.
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Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
An end-to-end deep learning framework jointly trains adaptive k-space sampling, reconstruction, and deformable registration for dynamic MRI, improving registered-image similarity to a reference at 4x to 8x acceleration.