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 281–290 of 441 papers

Title	Date	Tasks	Status	Hype
Fast MRI Reconstruction: How Powerful Transformers Are?	Jan 23, 2022	Generative Adversarial NetworkMRI Reconstruction	CodeCode Available	1
Swin Transformer for Fast MRI	Jan 10, 2022	MRI Reconstruction	CodeCode Available	1
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction	Dec 26, 2021	CT ReconstructionMRI Reconstruction	CodeCode Available	0
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI	Dec 18, 2021	MRI ReconstructionRolling Shutter Correction	—Unverified	0
Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information	Dec 10, 2021	Generative Adversarial NetworkImage Reconstruction	—Unverified	0
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction	Nov 30, 2021	DenoisingImage Reconstruction	CodeCode Available	1
Contrastive Learning for Local and Global Learning MRI Reconstruction	Nov 30, 2021	Contrastive LearningMRI Reconstruction	—Unverified	0
Reference-based Magnetic Resonance Image Reconstruction Using Texture Transformer	Nov 18, 2021	Image ReconstructionMRI Reconstruction	—Unverified	0
Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction	Nov 18, 2021	Anatomycompressed sensing	CodeCode Available	1
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI	Nov 11, 2021	MRI Reconstruction	—Unverified	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