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 211–220 of 441 papers

Title	Date	Tasks	Status	Hype
SMUG: Towards robust MRI reconstruction by smoothed unrolling	Mar 14, 2023	Adversarial Defenseimage-classification	CodeCode Available	0
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems	Mar 10, 2023	CT ReconstructionMRI Reconstruction	CodeCode Available	1
Reconstruction of Cardiac Cine MRI Using Motion-Guided Deformable Alignment and Multi-Resolution Fusion	Mar 9, 2023	Image ReconstructionMRI Reconstruction	—Unverified	0
Optimization-Based Deep learning methods for Magnetic Resonance Imaging Reconstruction and Synthesis	Mar 2, 2023	compressed sensingImage Reconstruction	CodeCode Available	0
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification	Feb 28, 2023	Image ReconstructionMRI Reconstruction	—Unverified	0
Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction	Feb 18, 2023	MRI ReconstructionSelf-Supervised Learning	—Unverified	0
Edge-weighted pFISTA-Net for MRI Reconstruction	Feb 15, 2023	Deep LearningEdge Detection	—Unverified	0
Computationally Efficient 3D MRI Reconstruction with Adaptive MLP	Jan 21, 2023	3D ReconstructionGPU	—Unverified	0
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction	Jan 20, 2023	MRI Reconstruction	—Unverified	0
Learning Deep MRI Reconstruction Models from Scratch in Low-Data Regimes	Jan 6, 2023	DiagnosticMRI Reconstruction	CodeCode Available	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