Results 161 to 170 of about 6,791 (211)

Assessing Age-Associated Influences on Paramagnetic and Diamagnetic Susceptibility Maps in Postmortem Human Brains. [PDF]

NMR Biomed
de Azevedo JHM, Garcia Otaduy MC, Avanzine A, Diehl Rodriguez R, Seiji Otsuka F, Barbosa F, Liu C, Garrido Salmon CE.   +7 more
europepmc   +1 more source

Quantitative Susceptibility Mapping of Kidney Stones: An Ex Vivo MRI Phantom Study. [PDF]

Magn Reson Med
Mücke LH, Laun FB, de Figueiredo Cardoso R, Flé G, Lorenz J, Fichte A, Uder M, Bayerl N, Hanspach J.   +8 more
europepmc   +1 more source

Editorial for "Hypointensity on Carotid Plaque MRI and Its Relationship to Calcification: Histopathologic Validation With Quantitative Susceptibility Mapping". [PDF]

J Magn Reson Imaging
Ning Z, Zhao X.
europepmc   +1 more source

Iron accumulation in the substantia nigra is linked to functional network connectivity alterations in early-stage Parkinson's Disease: an exploratory study. [PDF]

NPJ Parkinsons Dis
Tendler BC, Serafica G, Turchi S, Risato D, Koutsikos K, Parrotta I, Marizzoni M, Cattaneo A, Mombelli E, Saleri S, Quattrini G, Barresi R, D'Este G, Pazienza E, Spagna M, Santin M, Caldarelli G, Milner AV, Gennuso M, Rigon L, Filippini N.   +20 more
europepmc   +1 more source

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QSM Throughout the Body

Journal of Magnetic Resonance Imaging, 2023
Magnetic materials in tissue, such as iron, calcium, or collagen, can be studied using quantitative susceptibility mapping (QSM). To date, QSM has been overwhelmingly applied in the brain, but is increasingly utilized outside the brain. QSM relies on the effect of tissue magnetic susceptibility sources on the MR signal phase obtained with gradient echo
Alexey V. Dimov, Jiahao Li, Thanh D. Nguyen, Alexandra G. Roberts, Pascal Spincemaille, Sina Straub, Zungho Zun, Martin R. Prince, Yi Wang   +8 more
openaire   +2 more sources

Dynamic Contrast-Enhanced QSM for Perfusion Imaging: A Systematic Comparison of ΔR2*- and QSM-Based Contrast Agent Concentration Time Curves in Blood and Tissue

Magnetic Resonance Materials in Physics, Biology, and Medicine, 2020
OBJECTIVE: In dynamic susceptibility contrast MRI (DSC-MRI), an arterial input function (AIF) is required to quantify perfusion. However, estimation of the concentration of contrast agent (CA) from magnitude MRI signal data is challenging.
Emelie Lind, Linda Knutsson, Ronnie Wirestam   +2 more
exaly   +3 more sources

Investigating the Accuracy and Precision of TE-Dependent Versus Multi-Echo QSM Using Laplacian-Based Methods at 3 T [PDF]

Magnetic Resonance in Medicine, 2020
Purpose: Multi‐echo gradient‐recalled echo acquisitions for QSM enable optimizing the SNR for several tissue types through multi‐echo (TE) combination or investigating temporal variations in the susceptibility (potentially reflecting tissue ...
Emma Biondetti, Karin Shmueli
exaly   +2 more sources

Vessel Orientation Constrained Quantitative Susceptibility Mapping (QSM) Reconstruction

Lecture Notes in Computer Science, 2016
© Springer International Publishing AG 2016. QSM is used to estimate the underlying tissue magnetic susceptibility and oxygen saturation in veins.
Audrey Peiwen Fan, Gözde Ünal, Samantha Holdsworth   +2 more
exaly   +2 more sources

QSM-CI: An automated continuous QSM challenge

ISMRM Annual Meeting
Motivation: Reconstruction challenges for Quantitative Susceptibility Mapping (QSM) offer a common evaluation but are challenging to run and offer only a single snapshot of algorithm performance in time. Goal(s): To develop a QSM challenge with continuous integration (QSM-CI), enabling automatic, transparent evaluation of community-submitted algorithms
Stewart, Ashley, Eckstein, Korbinian, Dao, Thuy Thanh, Bollmann, Steffen   +3 more
openaire   +2 more sources

Models of the Queensland Economy: QSM and QGEM

IFAC Proceedings Volumes, 1995
Abstract Queensland Treasury is at the forefront of regional economic model development in Australia. Over the last seven years Treasury has continued the development of the Queensland State Model (QSM). The extensive detail contained in QSM is almost unparrelled in regional econometric modelling in Australia and internationally.
Peter Crossman, Shaun Bond, Jim Hurley, Antony Skinner   +3 more
openaire   +1 more source