Achievable Flow-Compensation Parameters on a Clinical 33 mT/m Wide-Bore Scanner for Intravoxel Incoherent Motion Imaging

Deep learning constrained compressed sensing reconstruction for diffusion-weighted imaging in patients with breast cancers: a plot study

Efficient High-Resolution Cardiac DTI with Spiral Keyhole Sampling (SPIK) and Joint Spatial-Angular Sparse Representation

Fast susceptibility distortion correction for diffusion MRI using style transfer and nonrigid registration

Improved fat suppression of TSE-DWI in the head-neck using enhanced slice-selective gradient reversal (enhanced LIPO)

Multi-dimensional denoising of diffusion MRI using low rank tensor dictionary learning

Author:Kang Yan  Quan Dou  Craig Meyer  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Diffusion Acquisition & Reconstruction I  

Program Number:2433  

Room Session:Exhibition Hall (Hall 403)  

Institution:University of Virginia  

Multi-shot 3D diffusion MRI sequence for a fast and high-resolution imaging at 3T

Navigator-free, high-resolution prostate diffusion imaging: Multi-Shot EPI with Multi-Scale Low-Rank Reconstruction

Pre-Excitation Gradients for Eddy Current Nulled Convex Optimized Diffusion Encoding (Pre-ENCODE)

Author:Matthew Middione  Michael Loecher  Xiaozhi Cao  Kawin Setsompop  Daniel Ennis  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Diffusion Acquisition & Reconstruction I  

Program Number:2419  

Room Session:Exhibition Hall (Hall 403)  

Institution:Stanford University  

Quantitative Brain Diffusion Metrics are Fragile to Voxel Size: A Prospective Volunteer Study Calling for Protocol Standardization

Short echo-time high-resolution diffusion imaging using multi-interleave spiral acquisition with simultaneous multi-slice (SMS) technique

Single-shot diffusion trace spectroscopic imaging using tetrahedral encoding with semi-LASER and radial echo-planar trajectories at 7T

Whole-Brain Mesoscale 0.7 millimeter-Isotropic-Resolution Diffusion MRI at Ultra-High Fields: The JETS-NAViEPI Approach.