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 171–180 of 441 papers

Title	Date	Tasks	Status	Hype
Two-and-a-half Order Score-based Model for Solving 3D Ill-posed Inverse Problems	Aug 16, 2023	3D Volumetric ReconstructionComputed Tomography (CT)	CodeCode Available	0
The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning	Aug 15, 2023	AnatomyDeep Learning	—Unverified	0
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction	Aug 9, 2023	AnatomyImage Reconstruction	CodeCode Available	0
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets	Aug 5, 2023	MRI Reconstruction	CodeCode Available	0
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction	Aug 4, 2023	MRI ReconstructionSegmentation	CodeCode Available	0
Generative Priors for MRI Reconstruction Trained from Magnitude-Only Images Using Phase Augmentation	Aug 4, 2023	compressed sensingMRI Reconstruction	CodeCode Available	1
Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction	Aug 2, 2023	MRI Reconstruction	CodeCode Available	1
Generative AI for Medical Imaging: extending the MONAI Framework	Jul 27, 2023	Anomaly DetectionDenoising	CodeCode Available	2
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction	Jul 25, 2023	Image ReconstructionMedical Diagnosis	CodeCode Available	0
Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling	Jul 24, 2023	MRI Reconstruction	CodeCode Available	1

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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