A low-rank diffeomorphic velocity model, learned unsupervised from k-space data, recovers cardiac and respiratory resolved 5D MRI from a six-minute free-breathing scan.
van Heeswijk, Juerg Schwitter, and Matthias Stuber
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Motion-compensated cardiac MRI using low-rank diffeomorphic flow (DMoCo)
A low-rank diffeomorphic velocity model, learned unsupervised from k-space data, recovers cardiac and respiratory resolved 5D MRI from a six-minute free-breathing scan.