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

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Showing 181–190 of 441 papers

Title	Date	Tasks	Status
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI	Jun 27, 2024	Image ReconstructionMRI Reconstruction	—Unverified
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction	Apr 15, 2020	compressed sensingMRI Reconstruction	—Unverified
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks	May 12, 2020	Deep LearningMRI Reconstruction	—Unverified
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction	Mar 10, 2015	Dictionary LearningImage Reconstruction	—Unverified
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI	Nov 11, 2021	MRI Reconstruction	—Unverified
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference	May 9, 2025	Image ReconstructionMRI Reconstruction	—Unverified
Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization	Jan 30, 2024	MRI Reconstruction	—Unverified
Computationally Efficient 3D MRI Reconstruction with Adaptive MLP	Jan 21, 2023	3D ReconstructionGPU	—Unverified
4D MRI: Robust sorting of free breathing MRI slices for use in interventional settings	Oct 4, 2019	MRI Reconstruction	—Unverified
CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation	Dec 4, 2022	Cloud Computingcompressed sensing	—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