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Evaluation Results on Calgary-Campinas Dataset and fastMRI Multi-coil Brain Dataset

Code and pretrained models will be released in the future. For the compared models below, their official pretrained models are used for evaluation.

Calgary-Campinas Dataset

Model Trained on Training Acceleration # of Params PSNR/SSIM 5x PSNR/SSIM 10x Link
Recurrent-VarNet train 5x and 10x 11M 36.27/0.9437 - official repo checkpoint 148500
Recurrent-VarNet train 5x and 10x 11M - 33.27/0.9147 official repo checkpoint 107000
PromptMR train 5x and 10x 82M 36.83/0.9485 34.10/0.9269 to be released

We follow the data split used in Recurrent-VarNet. Evaluation is conducted using the code in the official challenge repository, where the first and last 50 slices in each volume are excluded from the evaluation.

FastMRI MultiCoil Brain Dataset

Model Trained on Training Acceleration # of Params NMSE/PSNR/SSIM 4x NMSE/PSNR/SSIM 8x Link
E2E-VarNet train + val 4x and 8x 30M 0.0037/41.08/0.9591 0.0075/37.96/0.9423 official repo
PromptMR train + val 4x and 8x 78M 0.0033/41.59/0.9609 0.0063/38.82/0.9465 to be released

Note: the result of E2E-VarNet differs slightly from the one presented on the official leaderboard.