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 401–410 of 441 papers

Title	Date	Tasks	Status
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image Reconstruction	Oct 31, 2024	Image ReconstructionImage Restoration	CodeCode Available
Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations	Nov 10, 2020	Experimental DesignImage Reconstruction	CodeCode Available
An unsupervised method for MRI recovery: Deep image prior with structured sparsity	Jan 2, 2025	compressed sensingImage Reconstruction	CodeCode Available
Accelerated First Order Methods for Variational Imaging	Oct 6, 2021	DenoisingMRI Reconstruction	CodeCode Available
An Unsupervised Deep Learning Method for Multi-coil Cine MRI	Dec 20, 2019	Deep LearningMRI Reconstruction	CodeCode Available
Deep Learning-based MRI Reconstruction with Artificial Fourier Transform Network (AFTNet)	Dec 18, 2023	MRI Reconstruction	CodeCode Available
AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI Reconstruction	Jan 1, 2025	MRI Reconstruction	CodeCode Available
Multi-Task Accelerated MR Reconstruction Schemes for Jointly Training Multiple Contrasts	Oct 19, 2021	DiagnosticMRI Reconstruction	CodeCode Available
Segmentation-guided MRI reconstruction for meaningfully diverse reconstructions	Jul 25, 2024	MRI ReconstructionSemantic Segmentation	CodeCode Available
NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI Reconstruction	Jan 22, 2024	MRI ReconstructionQuantitative MRI	CodeCode Available

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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