Accelerating Navigator-free Multi-shot Spiral DTI via Joint Calibrationless Reconstruction with Low-Rank Tensor Completion

Automated Identification of Non-Brain Voxels for Clean Brain Extraction Using Diffusion MRI

Deep learning-based partial Fourier reconstruction for improved prostate DWI

Distortion Correction for Isotropic High-Resolution Diffusion Imaging Using 3D Simultaneous Multi-Slab (SMSlab) Acquisition

Interleaved Block-Segmented Echo-Planar Imaging (iblocks-EPI) based Diffusion-Tensor Imaging with Retrospective Motion Correction

Joint estimation of phase and diffusion tensor parameters from multi-shot k-q-space data: a proof of concept

A low-rank based reconstruction method for diffusion-weighted point-spread-function encoded EPI (PSF-EPI)

Author:Xinyu Ye  Guangqi Li  Yuan Lian  Yishi Wang  Hua Guo  

Institution:Philips Healthcare  Tsinghua University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Diffusion Acquisition, Reconstruction and Signal Analysis  

Session Name:Diffusion: Reconstruction & Artefact Correction 1  

Program Number:4350  

Room Live Q&A Session:

NoiseFactors: Blind Denoising of dMRI via Randomized Factor Models

Phase-Constrained Reconstruction of High-Resolution Multi-shot Diffusion Weighted Image

Practical correction of gradient nonlinearity bias for mean diffusion kurtosis model parameters

Author:Dariya Malyarenko  Thomas Chenevert  

Institution:University of Michigan  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Diffusion Acquisition, Reconstruction and Signal Analysis  

Session Name:Diffusion: Reconstruction & Artefact Correction 1  

Program Number:4353  

Room Live Q&A Session:

PROPELLER Diffusion-Weighted Imaging of the Prostate with Deep-Learning Reconstruction

Rapid, structure-preserving denoising of DTI data via tight framelet thresholding.

Segmented Diffusion Imaging with Iterative Motion Corrected Reconstruction for Self-navigated Brain Echo-planar Imaging at 7T

Towards individual direction-based deep learning of diffusion weighted images for standard diffusion model analysis.

Use of 2D image registration parameters for correction of eddy-current magnetization-density ADC errors in presence of gradient nonlinearity