MRI Reconstruction

In its most basic form, MRI reconstruction consists in retrieving a complex-valued image from its under-sampled Fourier coefficients. Besides, it can be addressed as a encoder-decoder task, in which the normative model in the latent space will only capture the relevant information without noise or corruptions. Then, we decode the latent space in order to have a reconstructed MRI.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 271–280 of 441 papers

Title	Date	Tasks	Status	Hype
HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction	Mar 15, 2022	AnatomyMRI Reconstruction	CodeCode Available	1
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation	Mar 14, 2022	Image ReconstructionMRI Reconstruction	CodeCode Available	1
Undersampled MRI Reconstruction with Side Information-Guided Normalisation	Mar 7, 2022	MRI Reconstruction	—Unverified	0
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction	Mar 5, 2022	DenoisingImage Reconstruction	CodeCode Available	1
Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI Reconstruction	Mar 1, 2022	Bayesian Inferencecompressed sensing	CodeCode Available	0
Predicting 4D Liver MRI for MR-guided Interventions	Feb 25, 2022	4D reconstructionMRI Reconstruction	—Unverified	0
Federated Learning of Generative Image Priors for MRI Reconstruction	Feb 8, 2022	Federated LearningMRI Reconstruction	CodeCode Available	1
Bayesian MRI Reconstruction with Joint Uncertainty Estimation using Diffusion Models	Feb 3, 2022	MRI Reconstruction	CodeCode Available	1
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction	Jan 26, 2022	Decision MakingMRI Reconstruction	—Unverified	0
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer	Jan 23, 2022	Feature CorrelationMRI Reconstruction	CodeCode Available	1

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All datasets fastMRI Knee 8x fastMRI Knee Val 8x fastMRI Brain 4x fastMRI Brain 8x fastMRI Knee 4x IXI

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	HUMUS-Net (train+val data)	SSIM	0.89	—	Unverified
2	HUMUS-Net (train only)	SSIM	0.89	—	Unverified
3	End-to-end variational network	SSIM	0.89	—	Unverified
4	XPDNet	SSIM	0.89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PromptMR	SSIM	0.9	—	Unverified
2	HUMUS-Net-L	SSIM	0.9	—	Unverified
3	HUMUS-Net	SSIM	0.89	—	Unverified
4	E2E-VarNet (train+val)	SSIM	0.89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	End-to-end variational network	SSIM	0.96	—	Unverified
2	XPDNet	SSIM	0.96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	End-to-end variational network	SSIM	0.94	—	Unverified
2	XPDNet	SSIM	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	End-to-end variational network	SSIM	0.93	—	Unverified
2	XPDNet	SSIM	0.93	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Residual U-NET	DSSIM	0	—	Unverified