Frontiers

Practical considerations of diffusion-weighted MRS with ultra-strong diffusion gradients

Introduction: Diffusion-weighted magnetic resonance spectroscopy (DW-MRS) offers improved cellular specificity to microstructure—compared to water-based methods alone—but spatial resolution and SNR is ...
Scientific Research Publishing

The effect of different number of diffusion gradients on SNR of diffusion tensor-derived measurement maps ()

Department of Radiology, XiangYa Hospital of School of Medicine, Central South University, Changsha, Hunan, P.R. China (410008);. Institute of Biomedical Engineering, School of Info-physics and ...
Frontiers

lop-DWI: a novel scheme for pre-processing of diffusion-weighted images in the gradient direction domain

We describe and evaluate a pre-processing method based on a periodic spiral sampling of diffusion-gradient directions for high angular resolution diffusion magnetic resonance imaging. Our ...
Nature

Aggregation-Diffusion Equations and Gradient Flows

Aggregation-diffusion equations and gradient flows form a dynamic field of study at the intersection of mathematical analysis, statistical mechanics and applied physics. These equations characterise ...
ahajournals.org

Reduction of Diffusion-Weighted Imaging Contrast of Acute Ischemic Stroke at Short Diffusion Times

Diffusion-weighted imaging (DWI) of tissue water is a sensitive and specific indicator of acute brain ischemia, where reductions of the diffusion of tissue water are observed acutely in the stroke ...
GitHub

HIT-LinXi/gradient_guided_diffusion

This project aims to design high-temperature superconductors using a diffusion generative model combined with a simulated gradient drift technique. By operating within the continuous latent space of ...
marktechpost

KAIST Researchers Propose SyncDiffusion: A Plug-and-Play Module that Synchronizes Multiple Diffusions through Gradient Descent from a Perceptual Similarity Loss

In a recent research paper, a team of researchers from KAIST introduced SYNCDIFFUSION, a groundbreaking module that aims to enhance the generation of panoramic images using pretrained diffusion models ...
marktechpost

UC Berkeley And MIT Researchers Propose A Policy Gradient Algorithm Called Denoising Diffusion Policy Optimization (DDPO) That Can Optimize A Diffusion Model For Downstream ...

Researchers have made notable strides in training diffusion models using reinforcement learning (RL) to enhance prompt-image alignment and optimize various objectives. Introducing denoising diffusion ...