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 81–90 of 441 papers

Title	Date	Tasks	Status	Hype	Score
Analysis of Deep Complex-Valued Convolutional Neural Networks for MRI Reconstruction	Apr 3, 2020	Image ReconstructionMRI Reconstruction	CodeCode Available	1	5
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models	Dec 8, 2023	DenoisingImage Denoising	CodeCode Available	1	5
A Neural-Network-Based Convex Regularizer for Inverse Problems	Nov 22, 2022	DenoisingImage Reconstruction	CodeCode Available	1	5
DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction	Jan 14, 2025	DiversityMamba	CodeCode Available	1	5
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior	Jan 11, 2020	MRI Reconstruction	CodeCode Available	1	5
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models	May 9, 2024	Medical DiagnosisMRI Reconstruction	CodeCode Available	1	5
fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data	Sep 8, 2021	MRI Reconstruction	CodeCode Available	1	5
Fast MRI Reconstruction via Edge Attention	Apr 22, 2023	Image ReconstructionMRI Reconstruction	CodeCode Available	1	5
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems	Mar 10, 2023	CT ReconstructionMRI Reconstruction	CodeCode Available	1	5
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise	May 20, 2022	DenoisingImage Reconstruction	CodeCode Available	1	5

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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