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20162024
most citedMICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI

2 citations · 2 across the 4 of their papers we have counts for

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physics.med-ph2024★ 2 cited

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 (…

physics.med-ph2021

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…

physics.med-ph2020

Simultaneous imaging of hard and soft biological tissues in a low-field dental MRI scanner

J. M. Algarín, E. Díaz-Caballero, J. Borreguero +12

Magnetic Resonance Imaging (MRI) of hard biological tissues is challenging due to the fleeting lifetime and low strength of their response to resonant stimuli, especially at low ma…

physics.med-ph2018

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-…

physics.med-ph2016

Exact Calculation of Noise Maps and g-Factor in GRAPPA using a k-space Analysis

Iñaki Rabanillo, Santiago Aja-Fernández, Carlos Alberola-López +1

Noise characterization in MRI has multiple applications, including quality assurance and protocol optimization. It is particularly important in the presence of parallel imaging acc…