Cover Image

Three-Dimensional MRI Reconstruction with Gaussian Representations: Tackling the Undersampling Problem

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peng, Tengya, Zha, Ruyi, Li, Zhen, Liu, Xiaofeng, Zou, Qing
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MoRe-3DGSMR: Motion-resolved reconstruction framework for free-breathing pulmonary MRI based on 3D Gaussian representation
by: Peng, Tengya, et al.
Published: (2025)

Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models
by: Liu, Jin, et al.
Published: (2025)

Fast Controllable Diffusion Models for Undersampled MRI Reconstruction
by: Jiang, Wei, et al.
Published: (2023)

Patient-Adaptive and Learned MRI Data Undersampling Using Neighborhood Clustering
by: Gautam, Siddhant, et al.
Published: (2023)

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO)
by: Gautam, Siddhant, et al.
Published: (2025)

Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation
by: Wu, Qing, et al.
Published: (2024)

Scan-Adaptive Dynamic MRI Undersampling Using a Dictionary of Efficiently Learned Patterns
by: Gautam, Siddhant, et al.
Published: (2026)

Learning Scan-Adaptive MRI Undersampling Patterns with Pre-Optimized Mask Supervision
by: Dhar, Aryan, et al.
Published: (2025)

NeRF Solves Undersampled MRI Reconstruction
by: Jang, Tae Jun, et al.
Published: (2024)

Inference Stage Denoising for Undersampled MRI Reconstruction
by: Xue, Yuyang, et al.
Published: (2024)

Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI Reconstruction
by: Leynes, Andrew P., et al.
Published: (2022)

R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction
by: Zha, Ruyi, et al.
Published: (2024)

4DRGS: 4D Radiative Gaussian Splatting for Efficient 3D Vessel Reconstruction from Sparse-View Dynamic DSA Images
by: Liu, Zhentao, et al.
Published: (2024)

NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI Reconstruction
by: Jiang, Xinrui, et al.
Published: (2024)

DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction
by: Su, Shiyan, et al.
Published: (2026)

CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction
by: Ekanayake, Mevan, et al.
Published: (2023)

A Unified Model for Compressed Sensing MRI Across Undersampling Patterns
by: Jatyani, Armeet Singh, et al.
Published: (2024)

Implicit Neural Representation-Based MRI Reconstruction Method with Sensitivity Map Constraints
by: Rao, Lixuan, et al.
Published: (2025)

Robust Physics-based Deep MRI Reconstruction Via Diffusion Purification
by: Alkhouri, Ismail, et al.
Published: (2023)

Undersampled Phase Retrieval with Image Priors
by: Ducotterd, Stanislas, et al.
Published: (2025)

Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data
by: Liang, Shijun, et al.
Published: (2022)

CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-assisted Implicit Neural Representation Learning
by: Wu, Ruoyou, et al.
Published: (2024)

Understanding Benefits and Pitfalls of Current Methods for the Segmentation of Undersampled MRI Data
by: Morshuis, Jan Nikolas, et al.
Published: (2025)

ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction
by: Hu, Yuyang, et al.
Published: (2024)

Spatiotemporal Maps for Dynamic MRI Reconstruction
by: Lobos, Rodrigo A., et al.
Published: (2025)

Graph Image Prior for Unsupervised Dynamic Cardiac Cine MRI Reconstruction
by: Li, Zhongsen, et al.
Published: (2024)

An Adaptive, Disentangled Representation for Multidimensional MRI Reconstruction
by: Zhao, Ruiyang, et al.
Published: (2025)

Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction
by: Yu, Hongze, et al.
Published: (2025)

Spatial-Angular Representation Learning for High-Fidelity Continuous Super-Resolution in Diffusion MRI
by: Wu, Ruoyou, et al.
Published: (2025)

CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation
by: Zhou, Yirong, et al.
Published: (2022)

MoRE: A Mixture-of-Experts-Based Task-Adaptive End-to-End Network for Multimodal MRI Reconstruction
by: Li, Yuyang, et al.
Published: (2026)

INR meets Multi-Contrast MRI Reconstruction
by: Niessen, Natascha, et al.
Published: (2025)

UPMRI: Unsupervised Parallel MRI Reconstruction via Projected Conditional Flow Matching
by: Luo, Xinzhe, et al.
Published: (2025)

Unsupervised Accelerated MRI Reconstruction via Ground-Truth-Free Flow Matching
by: Luo, Xinzhe, et al.
Published: (2025)

An All-in-one Approach for Accelerated Cardiac MRI Reconstruction
by: Hamedani, Kian Anvari, et al.
Published: (2024)

Learned Primal Dual Splitting for Self-Supervised Noise-Adaptive MRI Reconstruction
by: Janjusevic, Nikola, et al.
Published: (2025)

Noisy MRI Reconstruction via MAP Estimation with an Implicit Deep-Denoiser Prior
by: Janjušević, Nikola, et al.
Published: (2025)

Sparse-view Signal-domain Photoacoustic Tomography Reconstruction Method Based on Neural Representation
by: Yao, Bowei, et al.
Published: (2024)

SPICER: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation and Reconstruction
by: Hu, Yuyang, et al.
Published: (2022)

Rethinking Dual-Domain Undersampled MRI reconstruction: domain-specific design from the perspective of the receptive field
by: Gao, Ziqi, et al.
Published: (2023)