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 201–210 of 441 papers

Title	Date	Tasks	Status	Hype
MRI Recovery with Self-Calibrated Denoisers without Fully-Sampled Data	Apr 25, 2023	DenoisingImage Reconstruction	CodeCode Available	0
Fast MRI Reconstruction via Edge Attention	Apr 22, 2023	Image ReconstructionMRI Reconstruction	CodeCode Available	1
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction	Apr 14, 2023	Image ReconstructionMRI Reconstruction	CodeCode Available	0
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI	Apr 11, 2023	Image GenerationMRI Reconstruction	—Unverified	0
GA-HQS: MRI reconstruction via a generically accelerated unfolding approach	Apr 6, 2023	compressed sensingMRI Reconstruction	—Unverified	0
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study	Mar 31, 2023	MRI Reconstruction	—Unverified	0
Learning Federated Visual Prompt in Null Space for MRI Reconstruction	Mar 28, 2023	MRI Reconstruction	CodeCode Available	1
MRI Reconstruction with Side Information using Diffusion Models	Mar 26, 2023	AnatomyImage Reconstruction	—Unverified	0
Rethinking Dual-Domain Undersampled MRI reconstruction: domain-specific design from the perspective of the receptive field	Mar 19, 2023	Deep LearningLayout Design	—Unverified	0
Exploring the Power of Generative Deep Learning for Image-to-Image Translation and MRI Reconstruction: A Cross-Domain Review	Mar 16, 2023	Deep LearningImage-to-Image Translation	—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