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 331–340 of 441 papers

Title	Date	Tasks	Status
Self-supervised Deep Unrolled Reconstruction Using Regularization by Denoising	May 7, 2022	Deep LearningDenoising	—Unverified
Uncertainty Quantification in Deep MRI Reconstruction	Jan 31, 2019	DiagnosticMRI Reconstruction	—Unverified
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models	Apr 30, 2024	3D ReconstructionDiagnostic	—Unverified
LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space	Apr 20, 2019	Deep LearningMRI Reconstruction	—Unverified
IWNeXt: an image-wavelet domain ConvNeXt-based network for self-supervised multi-contrast MRI reconstruction	Apr 3, 2024	MRI ReconstructionSelf-Supervised Learning	—Unverified
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI	May 19, 2021	Image ReconstructionMRI Reconstruction	—Unverified
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network	May 6, 2018	compressed sensingDecoder	—Unverified
Joint Edge Optimization Deep Unfolding Network for Accelerated MRI Reconstruction	May 9, 2024	Image ReconstructionMRI Reconstruction	—Unverified
Joint PET-MRI Reconstruction with Diffusion Stochastic Differential Model	Aug 7, 2024	MRI Reconstruction	—Unverified
JSMoCo: Joint Coil Sensitivity and Motion Correction in Parallel MRI with a Self-Calibrating Score-Based Diffusion Model	Oct 14, 2023	MRI ReconstructionSensitivity	—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