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 311–320 of 441 papers

Title	Date	Tasks	Status
A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction	Mar 28, 2022	MRI Reconstruction	—Unverified
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging	Mar 23, 2022	Deep LearningMRI Reconstruction	—Unverified
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction	Mar 21, 2022	MRI Reconstruction	CodeCode Available
Rethinking the optimization process for self-supervised model-driven MRI reconstruction	Mar 18, 2022	Deep LearningImage Reconstruction	—Unverified
Undersampled MRI Reconstruction with Side Information-Guided Normalisation	Mar 7, 2022	MRI Reconstruction	—Unverified
Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI Reconstruction	Mar 1, 2022	Bayesian Inferencecompressed sensing	CodeCode Available
Predicting 4D Liver MRI for MR-guided Interventions	Feb 25, 2022	4D reconstructionMRI Reconstruction	—Unverified
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction	Jan 26, 2022	Decision MakingMRI Reconstruction	—Unverified
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction	Dec 26, 2021	CT ReconstructionMRI Reconstruction	CodeCode Available
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI	Dec 18, 2021	MRI ReconstructionRolling Shutter Correction	—Unverified

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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