Results 1 to 10 of about 11,299 (148)

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

NMR Biomed
We applied the APART‐QSM method to in situ postmortem MRI from 47 subjects (31–91 years) to assess age effects on paramagnetic and diamagnetic susceptibility. Diamagnetic susceptibility declined with age in basal ganglia, possibly reflecting shared biological factors.
de Azevedo JHM, Garcia Otaduy MC, Avanzine A, Diehl Rodriguez R, Seiji Otsuka F, Barbosa F, Liu C, Garrido Salmon CE.   +7 more
europepmc   +2 more sources

Evaluation of Brain Microstructural Alterations in Preschool Autism Spectrum Disorder: A Voxel-Wise Multimodal MRI Study. [PDF]

J Magn Reson Imaging
ABSTRACT Background Autism Spectrum Disorder (ASD) presents with early neurodevelopmental alterations in preschool children, yet comprehensive characterization using multimodal quantitative MRI remains limited in this age group. Purpose To investigate voxel‐wise brain microstructural differences in preschool ASD through integrated analysis of cerebral ...
Wang C, Cheng M, Lu Y, Guo J, Liu X, Feng Z, Liu S, Zhao X.   +7 more
europepmc   +2 more sources

Quantitative Susceptibility Mapping in Skull Base Chordoma: In Silico Analysis and In Vivo Application Towards Indirect Hypoxia Assessment. [PDF]

Magn Reson Med
ABSTRACT Purpose To evaluate quantitative susceptibility mapping (QSM) beyond the brain through realistic simulations and to explore preliminary evidence that may be indicative of hypoxia in skull base chordomas (SBC). Methods Each step of the QSM pipeline was optimized within an in silico framework consisting of (i) phase unwrapping, (ii) background ...
Fenech P, Morelli L, Parrella G, Imparato S, Iannalfi A, Lillo S, Orlandi E, Baroni G, Paganelli C.   +8 more
europepmc   +2 more sources

Mapping Intracellular Volume Fraction With Susceptibility Source Decomposition as a Marker for Tissue Cellularity. [PDF]

J Magn Reson Imaging
ABSTRACT Background Pathophysiological changes affect tissue cell composition and density. For example, neurodegenerative disorders and brain tumors are associated with cell loss and abnormal accumulation, respectively. In these scenarios, if monitored and tracked, tissue cellularity might be used to inform clinical diagnosis and management. Purpose To
Debiasi G, Kiersnowski OC, Librizzi G, Roccatagliata L, Manara R, Costagli M, Bertoldo A, Liu C.   +7 more
europepmc   +2 more sources

Incomplete spectrum QSM using support information

Frontiers 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 sensing approaches.
Fuchs, Patrick, Shmueli, Karin
openaire   +4 more sources

Quicksilver Scalable Multicast (QSM) [PDF]

2008 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, Ken Birman, Danny Dolev   +2 more
openaire   +1 more source

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

Frontiers 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, Wieland A. Worthoff, Aliaksandra Shymanskaya, N. Jon Shah, N. Jon Shah, N. Jon Shah, N. Jon Shah   +6 more
openaire   +5 more sources

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

Magnetic Resonance in Medicine, 2020
AbstractPurposeThe 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.MethodsA two-stage design was chosen for this challenge.
Berkin Bilgic, Christian Langkammer, José P. Marques, Jakob Meineke, Carlos Milovic, Ferdinand Schweser   +5 more
openaire   +4 more sources

HFP‐QSMGAN: QSM from homodyne‐filtered phase images

Magnetic Resonance in Medicine, 2022
PurposeHomodyne filtering is a standard preprocessing step in the estimation of SWI. Unfortunately, SWI is not quantitative, and QSM cannot be accurately estimated from filtered phase images. Compared with gradient‐echo sequences suitable for computing QSM, SWI is more readily available and is often the only susceptibility‐sensitive sequence acquired ...
Vincent Beliveau, Christoph Birkl, Ambra Stefani, Elke R. Gizewski, Christoph Scherfler   +4 more
openaire   +2 more sources

Feasibility of QSM in the human placenta

Magnetic 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, Kushal Kapse, Jessica Quistorff, Nickie Andescavage, Alexis C. Gimovsky, Homa Ahmadzia, Catherine Limperopoulos   +6 more
openaire   +2 more sources