Motion compensated self supervised deep learning for highly accelerated 3D ultrashort Echo time pulmonary MRI
Magnetic Resonance in Medicine2023Vol. 89(6), pp. 2361–2375
Citations Over TimeTop 10% of 2023 papers
Abstract
A method was developed to allow self-supervised MBDL to combine multiple respiratory states to reconstruct a single image. This method was combined with graphics processing unit (GPU)-based image registration to further improve reconstruction quality. This approach showed promising results reconstructing a user-selected respiratory phase from free breathing 3D pulmonary UTE acquisitions.
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