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 251–260 of 441 papers

Title	Date	Tasks	Status	Hype
Physics-driven Deep Learning for PET/MRI	Jun 11, 2022	Deep LearningMRI Reconstruction	—Unverified	0
Synthetic PET via Domain Translation of 3D MRI	Jun 11, 2022	MRI ReconstructionTranslation	CodeCode Available	0
Invertible Sharpening Network for MRI Reconstruction Enhancement	Jun 6, 2022	DiagnosticMRI Reconstruction	—Unverified	0
Dynamic MRI using Learned Transform-based Tensor Low-Rank Network (LT^2LR-Net)	Jun 2, 2022	Image ReconstructionMRI Reconstruction	—Unverified	0
Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations	Jun 2, 2022	Computational EfficiencyMRI Reconstruction	CodeCode Available	1
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise	May 20, 2022	DenoisingImage Reconstruction	CodeCode Available	1
An Interpretable MRI Reconstruction Network with Two-grid-cycle Correction and Geometric Prior Distillation	May 14, 2022	compressed sensingDeep Learning	CodeCode Available	0
Self-supervised Deep Unrolled Reconstruction Using Regularization by Denoising	May 7, 2022	Deep LearningDenoising	—Unverified	0
A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis	May 2, 2022	MRI Reconstruction	—Unverified	0
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction	Apr 21, 2022	MRI 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