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 111–120 of 441 papers

Title	Date	Tasks	Status	Hype
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation	Apr 6, 2024	MRI ReconstructionSSIM	CodeCode Available	0
IWNeXt: an image-wavelet domain ConvNeXt-based network for self-supervised multi-contrast MRI reconstruction	Apr 3, 2024	MRI ReconstructionSelf-Supervised Learning	—Unverified	0
The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023	Apr 1, 2024	MRI Reconstruction	CodeCode Available	2
Graph Image Prior for Unsupervised Dynamic Cardiac Cine MRI Reconstruction	Mar 23, 2024	compressed sensingImage Generation	CodeCode Available	1
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI	Mar 15, 2024	Dynamic ReconstructionMRI Reconstruction	—Unverified	0
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI	Mar 15, 2024	MRI Reconstruction	CodeCode Available	1
DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction	Mar 8, 2024	MRI Reconstruction	—Unverified	0
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI	Mar 8, 2024	DenoisingImage Reconstruction	CodeCode Available	0
Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction	Mar 1, 2024	Image ReconstructionMRI Reconstruction	CodeCode Available	0
Diffusion Posterior Sampling is Computationally Intractable	Feb 20, 2024	MRI ReconstructionSuper-Resolution	—Unverified	0

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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