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Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction

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arxiv 2007.05993 v1 pith:DY6BXMT4 submitted 2020-07-12 eess.IV cs.CV

Chen Qin , Jo Schlemper , Kerstin Hammernik , Jinming Duan , Ronald M Summers , Daniel Rueckert This is my paper
classification eess.IVcs.CV
keywords networkinterpolationaccelerateddeepimagemodelparallelreconstruction
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We present a deep network interpolation strategy for accelerated parallel MR image reconstruction. In particular, we examine the network interpolation in parameter space between a source model that is formulated in an unrolled scheme with L1 and SSIM losses and its counterpart that is trained with an adversarial loss. We show that by interpolating between the two different models of the same network structure, the new interpolated network can model a trade-off between perceptual quality and fidelity.

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