77 citations · 115 across the 8 of their papers we have counts for
8 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…
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…
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-…
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…
Spherical deconvolution of multichannel diffusion MRI data with non-Gaussian noise models and spatial regularization
Erick J. Canales-Rodríguez, Alessandro Daducci, Stamatios N. Sotiropoulos +11
Spherical deconvolution (SD) methods are widely used to estimate the intra-voxel white-matter fiber orientations from diffusion MRI data. However, while some of these methods assum…
Statistical Noise Analysis in SENSE Parallel MRI
Santiago Aja-Fernandez, Gonzalo Vegas-Sanchez-Ferrero, Antonio Trsitan-Vega
A complete first and second order statistical characterization of noise in SENSE reconstructed data is proposed. SENSE acquisitions have usually been modeled as Rician distributed,…