267 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- New York UniversityUS20 papers
- NYU Langone HealthUS6 papers
- Advanced Imaging Research (United States)US4 papers
- Courant Institute of Mathematical SciencesUS4 papers
- Laboratoire d’Analyse et de Mathématiques AppliquéesFR2 papers
- Université Gustave EiffelFR2 papers
- CentraleSupélecFR1 paper
- Centre Hospitalier Universitaire VaudoisCH1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- City University of New YorkUS1 paper
- Consejo Nacional de Investigaciones Científicas y TécnicasAR1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
20 papers
Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction
Jie Feng, Ruimin Feng, Qing Wu +3
Supervised Deep-Learning (DL)-based reconstruction algorithms have shown state-of-the-art results for highly-undersampled dynamic Magnetic Resonance Imaging (MRI) reconstruction. H…
Unconstrained quantitative magnetization transfer imaging: disentangling T1 of the free and semi-solid spin pools
Jakob Assländer, Andrew Mao, Elisa Marchetto +5
Since the inception of magnetization transfer (MT) imaging, it has been widely assumed that Henkelman's two spin pools have similar longitudinal relaxation times, which motivated m…
Rapid quantitative magnetization transfer imaging: utilizing the hybrid state and the generalized Bloch model
Jakob Assländer, Cem Gultekin, Andrew Mao +7
Purpose: To explore efficient encoding schemes for quantitative magnetization transfer (qMT) imaging with few constraints on model Theory and Methods: We combine two recently propo…
Quadrupolar Na NMR Relaxation as a Probe of Subpicosecond Collective Dynamics in Aqueous Electrolyte Solutions
Iurii Chubak, Leeor Alon, Emilia V. Silletta +3
Nuclear magnetic resonance relaxometry represents a powerful tool for extracting dynamic information. Yet, obtaining links to molecular motion is challenging for many ions that rel…
Cramér-Rao bound-informed training of neural networks for quantitative MRI
Xiaoxia Zhang, Quentin Duchemin, Kangning Liu +4
Neural networks are increasingly used to estimate parameters in quantitative MRI, in particular in magnetic resonance fingerprinting. Their advantages over the gold standard non-li…
Generalized Bloch model: a theory for pulsed magnetization transfer
Jakob Assländer, Cem Gultekin, Sebastian Flassbeck +2
Purpose: The paper introduces a classical model to describe the dynamics of large spin-1/2 ensembles associated with nuclei bound in large molecule structures, commonly referred to…
Compression of volume-surface integral equation matrices via Tucker decomposition for magnetic resonance applications
Ilias I. Giannakopoulos, Georgy D. Guryev, Jose E. C. Serralles +4
In this work, we propose a method for the compression of the coupling matrix in volume\hyp surface integral equation (VSIE) formulations. VSIE methods are used for electromagnetic…
Optimization of MR Fingerprinting for Free-Breathing Quantitative Abdominal Imaging
Max H. C. van Riel, Zidan Yu, Shota Hodono +4
In this work, we propose a free-breathing magnetic resonance fingerprinting method that can be used to obtain -robust quantitative maps of the abdomen in a clinically accept…
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Florian Knoll, Tullie Murrell, Anuroop Sriram +8
Purpose: To advance research in the field of machine learning for MR image reconstruction with an open challenge. Methods: We provided participants with a dataset of raw k-space da…
In vivo observation and biophysical interpretation of time-dependent diffusion in human cortical gray matter
Hong-Hsi Lee, Antonios Papaioannou, Dmitry S. Novikov +1
The dependence of the diffusion MRI signal on the diffusion time is a hallmark of tissue microstructure at the scale of the diffusion length. Here we measure the time-dependenc…
Magnetization Transfer in Magnetic Resonance Fingerprinting
Tom Hilbert, Ding Xia, Kai Tobias Block +5
Purpose: To study the effects of magnetization transfer (MT, in which a semisolid spin pool interacts with the free pool), in the context of magnetic resonance fingerprinting (MRF)…
A time-dependent diffusion MRI signature of axon caliber variations and beading
Hong-Hsi Lee, Antonios Papaioannou, Sung-Lyoung Kim +2
MRI provides a unique non-invasive window into the brain, yet is limited to millimeter resolution, orders of magnitude coarser than cell dimensions. Here we show that diffusion MRI…
Training a Neural Network for Gibbs and Noise Removal in Diffusion MRI
Matthew J. Muckley, Benjamin Ades-Aron, Antonios Papaioannou +7
We develop and evaluate a neural network-based method for Gibbs artifact and noise removal. A convolutional neural network (CNN) was designed for artifact removal in diffusion-weig…
Hybrid-State Free Precession in Nuclear Magnetic Resonance
Jakob Assländer, Dmitry S. Novikov, Riccardo Lattanzi +2
The dynamics of large spin-1/2 ensembles in the presence of a varying magnetic field are commonly described by the Bloch equation. Most magnetic field variations result in unintuit…
Low Rank plus Sparse Decomposition of ODFs for Improved Detection of Group-level Differences and Variable Correlations in White Matter
Steven H. Baete, Jingyun Chen, Ying-Chia Lin +3
A novel approach is presented for group statistical analysis of diffusion weighted MRI datasets through voxelwise Orientation Distribution Functions (ODF). Recent advances in MRI a…
Multicompartment Magnetic Resonance Fingerprinting
Sunli Tang, Carlos Fernandez-Granda, Sylvain Lannuzel +5
Magnetic resonance fingerprinting (MRF) is a technique for quantitative estimation of spin-relaxation parameters from magnetic-resonance data. Most current MRF approaches assume th…
High Impedance Detector Arrays for Magnetic Resonance
Bei Zhang, Daniel K. Sodickson, Martijn A. Cloos
Resonant inductive coupling is commonly seen as an undesired fundamental phenomenon emergent in densely packed resonant structures, such as nuclear magnetic resonance phased array…
Fast quantitative MRI as a nonlinear tomography problem
Alessandro Sbrizzi, Oscar van der Heide, Martijn Cloos +4
Quantitative Magnetic Resonance Imaging (MRI) is based on a two-steps approach: estimation of the magnetic moments distribution inside the body, followed by a voxel-by-voxel quanti…
Optimized Quantification of Spin Relaxation Times in the Hybrid State
Jakob Assländer, Riccardo Lattanzi, Daniel K Sodickson +1
Purpose: The analysis of optimized spin ensemble trajectories for relaxometry in the hybrid state. Methods: First, we constructed visual representations to elucidate the differenti…
Preconditioned ADMM with nonlinear operator constraint
Martin Benning, Florian Knoll, Carola-Bibiane Schönlieb +1
We are presenting a modification of the well-known Alternating Direction Method of Multipliers (ADMM) algorithm with additional preconditioning that aims at solving convex optimisa…