Results 11 to 20 of about 3,874 (185)

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

Quantitative susceptibility mapping (QSM) of the cardiovascular system: challenges and perspectives

open access: yesJournal of Cardiovascular Magnetic Resonance, 2022
Quantitative susceptibility mapping (QSM) is a powerful, non-invasive, magnetic resonance imaging (MRI) technique that relies on measurement of magnetic susceptibility. So far, QSM has been employed mostly to study neurological disorders characterized by
Alberto Aimo   +7 more
doaj   +3 more sources

Iterative Restoration of the Fringe Phase (REFRASE) for QSM [PDF]

open access: yesFrontiers in Neuroscience, 2021
In quantitative susceptibility mapping (QSM), reconstructed results can be critically biased by misinterpreted or missing phase data near the edges of the brain support originating from the non-local relationship between field and susceptibility. These data either have to be excluded or corrected before further processing can take place.
Johannes Lindemeyer   +6 more
openaire   +5 more sources

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

Quicksilver Scalable Multicast (QSM) [PDF]

open access: yes2008 Seventh IEEE International Symposium on Network Computing and Applications, 2008
QSM is a multicast engine designed to support a style of distributed programming in which application objects are replicated among clients and updated via multicast. The model requires platforms that scale in dimensions previously unexplored; in particular, to large numbers of multicast groups. Prior systems werenpsilat optimized for such scenarios and
Krzysztof Ostrowski   +2 more
openaire   +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

Feasibility of QSM in the human placenta

open access: yesMagnetic Resonance in Medicine, 2020
PurposeQuantitative susceptibility mapping (QSM) is an emerging tool for the precise characterization of human tissue, including regional oxygenation. A critical function of the human placenta is oxygen transfer to the developing fetus, which remains difficult to study in utero.
Zungho Zun   +6 more
openaire   +2 more sources

Iron quantification in basal ganglia using quantitative susceptibility mapping in a patient with ALS: a case report and literature review

open access: yesFrontiers in Neuroscience, 2023
BackgroundQuantitative susceptibility mapping (QSM) is a magnetic resonance imaging (MRI) technique that can measure the magnetic susceptibility of tissues, which can reflect their iron content.
Sadegh Ghaderi   +4 more
doaj   +1 more source

Toward a realistic in silico abdominal phantom for QSM

open access: yesMagnetic Resonance in Medicine, 2023
PurposeQSM outside the brain has recently gained interest, particularly in the abdominal region. However, the absence of reliable ground truths makes difficult to assess reconstruction algorithms, whose quality is already compromised by additional signal contributions from fat, gases, and different kinds of motion.
Javier Silva   +7 more
openaire   +3 more sources

QSM Reconstruction Challenge 2.0: Design and Report of Results [PDF]

open access: yesMagnetic Resonance in Medicine, 2020
Abstract Purpose The aim of the second quantitative susceptibility mapping (QSM) reconstruction challenge (Oct 2019, Seoul, Korea) was to test the accuracy of QSM dipole inversion algorithms in simulated brain data. Methods
Berkin Bilgic   +5 more
openaire   +4 more sources

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