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
Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization	Jan 30, 2024	MRI Reconstruction	—Unverified
Data and Physics driven Deep Learning Models for Fast MRI Reconstruction: Fundamentals and Methodologies	Jan 29, 2024	DiagnosticFederated Learning	—Unverified
Deep Learning-based Intraoperative MRI Reconstruction	Jan 23, 2024	Deep LearningDiagnostic	—Unverified
NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI Reconstruction	Jan 22, 2024	MRI ReconstructionQuantitative MRI	CodeCode Available
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems	Jan 1, 2024	DeblurringImage Deblurring	—Unverified
Deep Unfolding Network with Spatial Alignment for multi-modal MRI reconstruction	Dec 28, 2023	DiagnosticMRI Reconstruction	—Unverified
Deep Learning-based MRI Reconstruction with Artificial Fourier Transform Network (AFTNet)	Dec 18, 2023	MRI Reconstruction	CodeCode Available
Towards Architecture-Agnostic Untrained Network Priors for Image Reconstruction with Frequency Regularization	Dec 15, 2023	Image InpaintingImage Reconstruction	CodeCode Available
Robust MRI Reconstruction by Smoothed Unrolling (SMUG)	Dec 12, 2023	Adversarial Defenseimage-classification	CodeCode Available
Deep Image prior with StruCtUred Sparsity (DISCUS) for dynamic MRI reconstruction	Dec 1, 2023	compressed sensingMRI Reconstruction	—Unverified

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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