An FA-based hybrid DTI-mixture model for multi-fiber reconstruction in diffusion MRI.

Tensor-derived diffusion MRI metrics and NODDI in multiple sclerosis classification

In this ROI-based diffusion MRI classification, broader use of conventional tensor-derived information showed similar within-cohort discrimination to more complex representations in linear anisotropy.

AI-based reconstruction from low-resolution acquisitions for diffusion MRI: evaluation of FOD similarity

This study evaluated an AI-based reconstruction method, Precise IQ Engine (PIQE), and demonstrated that PIQE exhibited higher distributional similarity and directional agreement compared with ZIP+Advanced Intelligent Clear-IQ Engine (AiCE), with statistically significant similarity observed.

Fiber-Resolved Microstructure Quantification from Multi-Shell Diffusion MRI using Detection Transformers

Fiber orientation and compartmental microstructure are central to the characterization of white matter tissue in diffusion MRI, yet existing methods either resolve fiber orientations without quantifying microstructure, or quantify microstructure while assuming a fixed number of compartments and a single fiber direction...

FF-Reg: A Multimodal Fusion Network for Diffeomorphic FA-DTI Registration

Simulation of realistic brain phantoms for susceptibility tensor imaging.

Consistency Models for Fast MRI Reconstruction Using Regularization by Denoising

The proposed CM-RED method consistently outperforms existing DM- and CM-based approaches in both quantitative metrics and visual fidelity, and exhibits strong robustness to hyperparameter variations, highlighting CM-RED as an efficient and effective generative framework for accelerated MRI reconstruction.