Results 1 to 10 of about 3,904 (188)

Multimodal comparisons of QSM and PET in neurodegeneration and aging [PDF]

open access: yesNeuroImage, 2023
Quantitative susceptibility mapping (QSM) has been used to study susceptibility changes that may occur based on tissue composition and mineral deposition.
Audrey Fan, Petrice Cogswell
exaly   +6 more sources

Incomplete spectrum QSM using support information

open access: yesFrontiers in Neuroscience, 2023
IntroductionReconstructing a bounded object from incomplete k-space data is a well posed problem, and it was recently shown that this incomplete spectrum approach can be used to reconstruct undersampled MRI images with similar quality to compressed ...
Patrick Fuchs, Karin Shmueli
doaj   +4 more sources

Ironsmith: An automated pipeline for QSM-based data analyses

open access: yesNeuroImage, 2022
Quantitative susceptibility mapping (QSM) is an MRI-based, computational method for anatomically localizing and measuring concentrations of specific biomarkers in tissue such as iron.
Valentinos Zachariou   +3 more
doaj   +3 more sources

Prediction of early neurological deterioration using quantitative susceptibility mapping in small artery occlusion ischemic stroke [PDF]

open access: yesIBRO Neuroscience Reports
Background: Approximately 20–30% of ischemic stroke patients with small artery occlusion (SAO) experience early neurological deterioration (END) after stroke onset, which is associated with a poor prognosis.
Xuelian Tang   +3 more
doaj   +2 more sources

QSM-IDM – A novel quadrature spatial modulation based on interleaving division multiplexing for multiple antenna system

open access: yesDigital Communications and Networks, 2019
Quadrature Spatial Modulation (QSM) is a high spectral efficiency Multiple-Input Multiple Output (MIMO) technique used to improve the spectral efficiency of wireless communication systems. The main concept of QSM is to extend the spatial constellation of
Hadia El-Hennawy
exaly   +3 more sources

Advancing Quantitative Susceptibility Mapping With 2.5D Diffusion Models for Rapid Intracranial Hemorrhage Quantification. [PDF]

open access: yesMagn Reson Med
ABSTRACT Purpose To develop a generative diffusion model‐based approach for robust and efficient quantitative susceptibility mapping (QSM) reconstruction in intracranial hemorrhage (ICH), applicable to both standard gradient echo (GRE) and rapid echo planar imaging (EPI) acquisitions.
Xiong Z   +6 more
europepmc   +2 more sources

An initial clinical evaluation of quantitative susceptibility mapping for quantitative characterization of intramyocardial hemorrhage [PDF]

open access: yesJournal of Cardiovascular Magnetic Resonance
: Background: Iron deposition following intramyocardial hemorrhage in ST elevation myocardial infarction (STEMI) has a mechanistic role in adverse left ventricular remodeling. Current cardiovascular magnetic resonance imaging-based methods for measuring
Andrew Tyler   +8 more
doaj   +2 more sources

MRI assessment of different types of chronic demyelinating lesions in patients with multiple sclerosis using quantitative susceptibility mapping (QSM)

open access: yesНеврология, нейропсихиатрия, психосоматика, 2023
Histologically, chronic demyelinating lesions in multiple sclerosis (MS) have been shown to include inactive lesions that do not change over time and active or “smouldering" lesions that tend to enlarge over time and are surrounded by pro-inflammatory ...
M. S. Matrosova   +4 more
doaj   +1 more source

Learn Less, Infer More: Learning in the Fourier Domain for Quantitative Susceptibility Mapping

open access: yesFrontiers in Neuroscience, 2022
Quantitative susceptibility mapping (QSM) aims to evaluate the distribution of magnetic susceptibility from magnetic resonance phase measurements by solving the ill-conditioned dipole inversion problem.
Junjie He   +5 more
doaj   +1 more source

SEPIA—Susceptibility mapping pipeline tool for phase images

open access: yesNeuroImage, 2021
Quantitative susceptibility mapping (QSM) is a physics-driven computational technique that has a high sensitivity in quantifying iron deposition based on MRI phase images.
Kwok-Shing Chan, José P. Marques
doaj   +1 more source

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