Unambiguous identification of superparamagnetic iron oxide particles through quantitative susceptibility mapping of the nonlinear response to magnetic fields.
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Joint estimation of chemical shift and quantitative susceptibility mapping (chemical QSM)On the role of neuronal magnetic susceptibility and structure symmetry on gradient echo MR signal formation.Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker.The clinical utility of QSM: disease diagnosis, medical management, and surgical planning.Perfluorocarbon/Gold Loading for Noninvasive in Vivo Assessment of Bone Fillers Using 19F Magnetic Resonance Imaging and Computed Tomography.Cerebral microbleeds: burden assessment by using quantitative susceptibility mapping.Whole brain susceptibility mapping using compressed sensingIn-Vivo Imaging of Cell Migration Using Contrast Enhanced MRI and SVM Based Post-Processing.Bone quantitative susceptibility mapping using a chemical species-specific R2* signal model with ultrashort and conventional echo data.Phase-corrected bipolar gradients in multi-echo gradient-echo sequences for quantitative susceptibility mapping.Quantitative assessment of microvasculopathy in arcAβ mice with USPIO-enhanced gradient echo MRIStructure Prior Effects in Bayesian Approaches of Quantitative Susceptibility Mapping.Echo time-dependent quantitative susceptibility mapping contains information on tissue properties.An iterative spherical mean value method for background field removal in MRI.Gradient echo plural contrast imaging--signal model and derived contrasts: T2*, T1, phase, SWI, T1f, FST2*and T2*-SWI.Generalized Lorentzian Tensor Approach (GLTA) as a biophysical background for quantitative susceptibility mapping.Magnetic barcode imaging for contrast agents.Toward online reconstruction of quantitative susceptibility maps: superfast dipole inversion.MEDI+0: Morphology enabled dipole inversion with automatic uniform cerebrospinal fluid zero reference for quantitative susceptibility mapping.Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping.Establishing the overlap of IONP quantification with echo and echoless MR relaxation mapping.Background field removal by solving the Laplacian boundary value problem.Significance and In Vivo Detection of Iron-Laden Microglia in White Matter Multiple Sclerosis Lesions.Medical Applications of Iron Oxide Nanoparticles
P2860
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P2860
Unambiguous identification of superparamagnetic iron oxide particles through quantitative susceptibility mapping of the nonlinear response to magnetic fields.
description
2010 nî lūn-bûn
@nan
2010 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Unambiguous identification of ...... r response to magnetic fields.
@ast
Unambiguous identification of ...... r response to magnetic fields.
@en
type
label
Unambiguous identification of ...... r response to magnetic fields.
@ast
Unambiguous identification of ...... r response to magnetic fields.
@en
prefLabel
Unambiguous identification of ...... r response to magnetic fields.
@ast
Unambiguous identification of ...... r response to magnetic fields.
@en
P2093
P2860
P1476
Unambiguous identification of ...... r response to magnetic fields.
@en
P2093
Ludovic de Rochefort
Martin Prince
Pascal Spincemaille
Richard Wong
P2860
P304
P356
10.1016/J.MRI.2010.06.011
P577
2010-08-04T00:00:00Z