Three-Dimensional Diffusion-Weighted Multi-Slab MRI With Slice Profile Compensation Using Deep Energy Model

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ghorbani, Reza, Chand, Jyothi Rikhab, Lee, Chu-Yu, Jacob, Mathews, Mani, Merry
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Image and Video Processing Artificial Intelligence Medical Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Regularized joint reconstruction and slab combination for accelerated three-dimensional multi-slab diffusion-weighted imaging using multi-scale energy models
di: Ghorbani, Reza, et al.
Pubblicazione: (2026)

Accelerating Quantitative MRI using Subspace Multiscale Energy Model (SS-MuSE)
di: Chen, Yan, et al.
Pubblicazione: (2025)

Multi-Scale Energy (MuSE) plug and play framework for inverse problems
di: Chand, Jyothi Rikhab, et al.
Pubblicazione: (2023)

Deep End-to-End Posterior ENergy (DEEPEN) for image recovery
di: Chand, Jyothi Rikhab, et al.
Pubblicazione: (2025)

Annealed Langevin Posterior Sampling (ALPS): A Rapid Algorithm for Image Restoration with Multiscale Energy Models
di: Chand, Jyothi Rikhab, et al.
Pubblicazione: (2026)

MAP Image Recovery with Guarantees using Locally Convex Multi-Scale Energy (LC-MUSE) Model
di: Chand, Jyothi Rikhab, et al.
Pubblicazione: (2025)

Memory-efficient deep end-to-end posterior network (DEEPEN) for inverse problems
di: Chand, Jyothi Rikhab, et al.
Pubblicazione: (2024)

Fast multi-contrast MRI using joint multiscale energy model
di: Yaghoobi, Nima, et al.
Pubblicazione: (2025)

CATNUS: Coordinate-Aware Thalamic Nuclei Segmentation Using T1-Weighted MRI
di: Feng, Anqi, et al.
Pubblicazione: (2025)

Simultaneous Multi-Slice Diffusion Imaging using Navigator-free Multishot Spiral Acquisition
di: Jiang, Yuancheng, et al.
Pubblicazione: (2024)

Bayesian Insights into Exchange and Restriction in Gray Matter Diffusion MRI
di: Jallais, Maëliss, et al.
Pubblicazione: (2025)

Combined Diffusion-Relaxation MRI to Assess Muscle Microstructure and Composition
di: Figini, Matteo, et al.
Pubblicazione: (2026)

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

Detecting Early Kidney Allograft Fibrosis with Multi-b-value Spectral Diffusion MRI
di: Liu, Mira M., et al.
Pubblicazione: (2025)

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

Let Distortion Guide Restoration (DGR): A physics-informed learning framework for Prostate Diffusion MRI
di: Long, Ziyang, et al.
Pubblicazione: (2026)

Spatially Regularized Super-Resolved Constrained Spherical Deconvolution (SR$^2$-CSD) of Diffusion MRI Data
di: Taskin, Ekin, et al.
Pubblicazione: (2024)

Image Reconstruction with B0 Inhomogeneity using an Interpretable Deep Unrolled Network on an Open-bore MRI-Linac
di: Shan, Shanshan, et al.
Pubblicazione: (2024)

Validation of Fully-Automated Deep Learning-Based Fibroglandular Tissue Segmentation for Efficient and Reliable Quantitation of Background Parenchymal Enhancement in Breast MRI
di: Kuo, Yu-Tzu, et al.
Pubblicazione: (2025)

Deep Learning-based Intraoperative MRI Reconstruction
di: Ottesen, Jon André, et al.
Pubblicazione: (2024)

FlowMRI-Net: A Generalizable Self-Supervised 4D Flow MRI Reconstruction network
di: Jacobs, Luuk, et al.
Pubblicazione: (2024)

Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography
di: Lu, Jingfeng, et al.
Pubblicazione: (2023)

Low-Cost and Detunable Wireless Resonator Glasses for Enhanced Eye MRI with Concurrent High-Quality Whole Brain MRI
di: Lu, Ming, et al.
Pubblicazione: (2025)

Robust Simultaneous Multislice MRI Reconstruction Using Slice-Wise Learned Generative Diffusion Priors
di: Huang, Shoujin, et al.
Pubblicazione: (2024)

Swin UNETR segmentation with automated geometry filtering for biomechanical modeling of knee joint cartilage
di: Kakavand, Reza, et al.
Pubblicazione: (2024)

ReMiDi: Reconstruction of Microstructure Using a Differentiable Diffusion MRI Simulator
di: Khole, Prathamesh Pradeep, et al.
Pubblicazione: (2025)

Volumetric Material Decomposition Using Spectral Diffusion Posterior Sampling with a Compressed Polychromatic Forward Model
di: Jiang, Xiao, et al.
Pubblicazione: (2025)

Image denoising and model-independent parameterization for improving IVIM MRI
di: Sample, Caleb, et al.
Pubblicazione: (2024)

Accelerated Convergent Motion Compensated Image Reconstruction
di: Delplancke, Claire, et al.
Pubblicazione: (2024)

Self-Supervised Learning for Improved Calibrationless Radial MRI with NLINV-Net
di: Blumenthal, Moritz, et al.
Pubblicazione: (2024)

Resolving quantitative MRI model degeneracy in self-supervised machine learning
di: Minore, Giulio V., et al.
Pubblicazione: (2025)

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction
di: Wang, Zi, et al.
Pubblicazione: (2023)

CEST MR fingerprinting (CEST-MRF) for Brain Tumor Quantification Using EPI Readout and Deep Learning Reconstruction
di: Cohen, Ouri, et al.
Pubblicazione: (2021)

Contrast-Optimized Basis Functions for Self-Navigated Motion Correction in Quantitative MRI
di: Marchetto, Elisa, et al.
Pubblicazione: (2024)

VAST: Vascular Flow Analysis and Segmentation for Intracranial 4D Flow MRI
di: Singh, Abhishek, et al.
Pubblicazione: (2026)

Time-Resolved Reconstruction of Motion, Force, and Stiffness using Spectro-Dynamic MRI
di: van Riel, Max H. C., et al.
Pubblicazione: (2023)

A Portable Brain MRI Scanner for Underserved Settings and Point-Of-Care Imaging
di: Cooley, Clarissa Z., et al.
Pubblicazione: (2020)

Diffusion Probabilistic Generative Models for Accelerated, in-NICU Permanent Magnet Neonatal MRI
di: Arefeen, Yamin, et al.
Pubblicazione: (2025)

Is fitting error a reliable metric for assessing deformable motion correction in quantitative MRI?
di: Wang, Fanwen, et al.
Pubblicazione: (2025)

A Generative Diffusion Model to Solve Inverse Problems for Robust in-NICU Neonatal MRI
di: Arefeen, Yamin, et al.
Pubblicazione: (2024)