Spiral sampling patterns are well suited for fast MR applications like cardiac imaging, yet additional undersampling is necessary to achieve real-time temporal resolution. To still transform these data into images of high quality, a Variational Network is presented. The proposed model uses U-Nets for regularizing a gradient descent scheme, to reconstruct dynamic image series comparable to a segmented fully sampled cine investigation. The acquisition time for an entire stack from base to apex was below one minute; the overall reconstruction time was about 6 minutes.
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