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 381–390 of 441 papers

Title	Date	Tasks	Status	Hype
Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation	Jan 25, 2020	MRI ReconstructionSegmentation	—Unverified	0
Spherical function regularization for parallel MRI reconstruction	Jan 25, 2020	MRI Reconstruction	—Unverified	0
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior	Jan 11, 2020	MRI Reconstruction	CodeCode Available	1
ODE-based Deep Network for MRI Reconstruction	Dec 27, 2019	Image ReconstructionMRI Reconstruction	—Unverified	0
An Unsupervised Deep Learning Method for Multi-coil Cine MRI	Dec 20, 2019	Deep LearningMRI Reconstruction	CodeCode Available	0
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms	Dec 16, 2019	MRI ReconstructionRolling Shutter Correction	—Unverified	0
Self-Supervised Learning of Physics-Guided Reconstruction Neural Networks without Fully-Sampled Reference Data	Dec 16, 2019	compressed sensingMRI Reconstruction	CodeCode Available	0
Pyramid Convolutional RNN for MRI Image Reconstruction	Dec 2, 2019	Image ReconstructionMRI Reconstruction	—Unverified	0
Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction	Dec 1, 2019	compressed sensingMRI Reconstruction	CodeCode Available	0
Calibrationless Parallel MRI using Model based Deep Learning (C-MODL)	Nov 27, 2019	Deep LearningMRI 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