Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution
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Abstract
Motion degradation is a central problem in Magnetic Resonance Imaging (MRI).
This work addresses the problem of how to obtain higher quality, super-resolved
motion-free, reconstructions from highly undersampled MRI data. In this work,
we present for the first time a variational multi-task framework that allows
joining three relevant tasks in MRI: reconstruction, registration and
super-resolution. Our framework takes a set of multiple undersampled MR
acquisitions corrupted by motion into a novel multi-task optimisation model,
which is composed of an
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1361-8423
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Engineering and Physical Sciences Research Council (EP/N014588/1)
EPSRC (EP/S026045/1)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (777826)