2 citations · 2 across the 3 of their papers we have counts for
4 papers
MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI
Nancy R. Newlin, Kurt Schilling, Serge Koudoro +33
White matter alterations are increasingly implicated in neurological diseases and their progression. International-scale studies use diffusion-weighted magnetic resonance imaging (…
aDWI-BIDS: an extension to the brain imaging data structure for advanced diffusion weighted imaging
James Gholam, Filip Szczepankiewicz, Chantal M. W. Tax +7
Diffusion weighted imaging techniques permit us to infer microstructural detail in biological tissue in vivo and noninvasively. Modern sequences are based on advanced diffusion enc…
Q-space quantitative diffusion MRI measures using a stretched-exponential representation
Tomasz Pieciak, Maryam Afzali, Fabian Bogusz +2
Diffusion magnetic resonance imaging (dMRI) is a relatively modern technique used to study tissue microstructure in a non-invasive way. Non-Gaussian diffusion representation is rel…
Computation of Exact g-Factor Maps in 3D GRAPPA Reconstructions
Iñaki Rabanillo, Ante Zhu, Santiago Aja-Fernández +2
Purpose: To characterize the noise distributions in 3D-MRI accelerated acquisitions reconstructed with GRAPPA using an exact noise propagation analysis that operates directly in k-…