Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction

Chen Qin, Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M Summers, Daniel Rueckert

Research output: Contribution to conferenceAbstractpeer-review


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.
Original languageEnglish
Publication statusPublished - 2020
EventISMRM & SMRT Virtual Conference & Exhibition - Online
Duration: 8 Aug 202014 Aug 2020


ConferenceISMRM & SMRT Virtual Conference & Exhibition
Internet address


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