37 citations
- New York UniversityUS7 papers
- Advanced Imaging Research (United States)US4 papers
- Courant Institute of Mathematical SciencesUS3 papers
- Laboratoire d’Analyse et de Mathématiques AppliquéesFR2 papers
- Université Gustave EiffelFR2 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- City University of New YorkUS1 paper
- Consejo Nacional de Investigaciones Científicas y TécnicasAR1 paper
- Icahn School of Medicine at Mount SinaiUS1 paper
- Massachusetts Institute of TechnologyUS1 paper
- PHENIX laboratoryFR1 paper
- Shandong University of Political Science and LawCN1 paper
7 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…