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 31–40 of 441 papers

Title	Date	Tasks	Status	Hype
Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction	Aug 2, 2023	MRI Reconstruction	CodeCode Available	1
Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling	Jul 24, 2023	MRI Reconstruction	CodeCode Available	1
Self-Supervised MRI Reconstruction with Unrolled Diffusion Models	Jun 29, 2023	MRI Reconstruction	CodeCode Available	1
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?	Jun 25, 2023	MRI Reconstruction	CodeCode Available	1
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models	Jun 5, 2023	compressed sensingMRI Reconstruction	CodeCode Available	1
Implicit Neural Networks with Fourier-Feature Inputs for Free-breathing Cardiac MRI Reconstruction	May 11, 2023	MRI Reconstruction	CodeCode Available	1
M4Raw: A multi-contrast, multi-repetition, multi-channel MRI k-space dataset for low-field MRI research	May 10, 2023	DenoisingImage Denoising	CodeCode Available	1
Fast MRI Reconstruction via Edge Attention	Apr 22, 2023	Image ReconstructionMRI Reconstruction	CodeCode Available	1
Learning Federated Visual Prompt in Null Space for MRI Reconstruction	Mar 28, 2023	MRI Reconstruction	CodeCode Available	1
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems	Mar 10, 2023	CT ReconstructionMRI 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