Quantitative multi-parameter mapping of R1, PD(*), MT, and R2(*) at 3T: a multi-center validation.
about
Merging functional and structural properties of the monkey auditory cortexMapping the developing human brain in utero using quantitative MR imaging techniquesAssessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRICorrection of inter-scan motion artifacts in quantitative R1 mapping by accounting for receive coil sensitivity effectsImaging plus X: multimodal models of neurodegenerative disease.Widespread age-related differences in the human brain microstructure revealed by quantitative magnetic resonance imaging.A general linear relaxometry model of R1 using imaging dataPrimate comparative neuroscience using magnetic resonance imaging: promises and challenges.Estimating the age of healthy infants from quantitative myelin water fraction maps.Oxygen Mapping within Healthy and Acutely Infarcted Brain Tissue in Humans Using the NMR Relaxation of Lipids: A Proof-Of-Concept Translational Study.Specific white matter tissue microstructure changes associated with obesity.Neurobiological origin of spurious brain morphological changes: A quantitative MRI study.The neurobiology of addiction: the perspective from magnetic resonance imaging present and future.Towards in vivo focal cortical dysplasia phenotyping using quantitative MRI.Tissue- and column-specific measurements from multi-parameter mapping of the human cervical spinal cord at 3 T.Computational anatomy for studying use-dependant brain plasticity.The Brain Basis for MisophoniaEstimating the apparent transverse relaxation time (R2(*)) from images with different contrasts (ESTATICS) reduces motion artifactsLifespan maturation and degeneration of human brain white matter.Disentangling in vivo the effects of iron content and atrophy on the ageing human brainAccurate automatic estimation of total intracranial volume: a nuisance variable with less nuisanceBrain tissue properties differentiate between motor and limbic basal ganglia circuits.High-resolution diffusion kurtosis imaging at 3T enabled by advanced post-processing.Neural population tuning links visual cortical anatomy to human visual perceptionStructure predicts function: combining non-invasive electrophysiology with in-vivo histology.A Novel Multiparametric Approach to 3D Quantitative MRI of the BrainSNR efficiency of combined bipolar gradient echoes: Comparison of three-dimensional FLASH, MPRAGE, and multiparameter mapping with VFA-FLASH and MP2RAGE.Robustness of Automated Methods for Brain Volume Measurements across Different MRI Field Strengths.Basal Ganglia Activity Mirrors a Benefit of Action and Reward on Long-Lasting Event MemoryWhole-Brain In-vivo Measurements of the Axonal G-Ratio in a Group of 37 Healthy Volunteers.Subcomponents of brain T2* relaxation in schizophrenia, bipolar disorder and siblings: A Gradient Echo Plural Contrast Imaging (GEPCI) study.Tracking sensory system atrophy and outcome prediction in spinal cord injuryNew tissue priors for improved automated classification of subcortical brain structures on MRIAdolescence is associated with genomically patterned consolidation of the hubs of the human brain connectomeQuantitative T1-mapping detects cloudy-enhancing tumor compartments predicting outcome of patients with glioblastoma.Insula and somatosensory cortical myelination and iron markers underlie individual differences in empathy.Functional Sensitivity of 2D Simultaneous Multi-Slice Echo-Planar Imaging: Effects of Acceleration on g-factor and Physiological Noise.Metacognitive ability correlates with hippocampal and prefrontal microstructure.Compromised white matter integrity in obesity.Local striatal reward signals can be predicted from corticostriatal connectivity.
P2860
Q21558396-340FF950-10C9-4AD1-A752-0D9E082C6A53Q28080992-2B97B3F9-4391-43FE-A4DE-28F8F82B5357Q28554569-C4FFEC7A-B855-4DB7-AB15-F407254479B3Q30488594-B4C06528-A367-48E4-A3FA-37CB9DEBF828Q30491715-0EDD1678-C38A-4AD5-9B83-5948807ADCC9Q30783478-DFF16276-DDF8-4495-B6C6-25CA0D05B1D8Q30793545-D03E9F75-CE3C-4609-90C2-6B6AD1BF5226Q30863745-9512C9BD-6203-4D91-9F83-91DBCBCACB4FQ30886946-AA845148-BAD9-47AA-844A-A0C2F08BC463Q30987006-2D20943E-CE94-448A-B6BA-FD936B221661Q31004529-61D4C015-D3B1-4BC2-91FE-9B4E140F3EA6Q31045637-AA8E3C15-B753-4298-B3E0-0664F511537EQ31117149-2DF88ED0-8339-4315-829D-61A3F48A15A7Q33627326-B2BBC0D6-EBDA-436B-8ED0-738BBF8C1795Q33667839-CBC73353-8A6B-4BDF-AF15-8CCDF11AE8EEQ33813345-07ABF09F-44A4-4BA9-8395-2D401A1791CDQ34047954-9FD8DADC-BCAE-49C6-86CD-9C897397ECE1Q34159106-2BEFFC7B-5111-4583-A517-866E360AB88AQ34549136-A8BC4892-79DB-4367-AC7D-F23B21F5B698Q34680685-212677AF-5576-40BD-B7C4-72B954C5ED08Q34698353-A2AEE687-0425-4878-87EC-6B729CF8267CQ34805770-6837D265-1B7F-4A78-97FE-60B4152BBC95Q34850652-8A2D4E9B-9318-4E6A-9489-C6DAB0C9F174Q35064404-401523D8-7B1D-469A-98D4-82E34A451186Q35102053-956F8AF9-4B6D-4DDB-B8DD-D6BAC0A78601Q35748765-48450B77-BA65-45EB-9EFA-08DF5CDAE980Q36077950-BECF5DD7-C63B-4584-B853-93EECC4A6028Q36178620-E7137F09-1FFB-446E-892B-17F226B17F1DQ36256524-75BFBB29-DD2F-4500-B9EF-40A781D4D8D1Q36323247-FC8338EC-12EA-479E-B670-B6B31D6E85D9Q36378141-96D0D5E3-ABF3-492A-94A5-C8233F0247BDQ36532503-4EE277AE-0FB9-4B4F-9D54-CD086442F360Q36762247-7B1E0A15-545F-4791-ABB0-BB7DB9BF62D1Q37181845-E9DFB34C-51AC-4C65-8C2C-134D0D27AE29Q37609463-8DFA75FE-669C-4648-93F4-7CF2F1DA190FQ37678985-B8FC8F2A-C480-49DF-BF46-3570E185BAF0Q37729526-4A6B4DCA-E687-4633-A0BD-77385586AFE0Q37747394-D8B84538-A516-44DC-88E2-DF19C84AE0B5Q38353671-27169478-0B36-4C87-95CF-7B77B26C965AQ38665730-7BEEA35A-1488-40D2-98DC-D6EEB072CF8B
P2860
Quantitative multi-parameter mapping of R1, PD(*), MT, and R2(*) at 3T: a multi-center validation.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
Quantitative multi-parameter m ...... 3T: a multi-center validation.
@en
Quantitative multi-parameter m ...... 3T: a multi-center validation.
@nl
type
label
Quantitative multi-parameter m ...... 3T: a multi-center validation.
@en
Quantitative multi-parameter m ...... 3T: a multi-center validation.
@nl
prefLabel
Quantitative multi-parameter m ...... 3T: a multi-center validation.
@en
Quantitative multi-parameter m ...... 3T: a multi-center validation.
@nl
P2093
P2860
P50
P356
P1476
Quantitative multi-parameter m ...... 3T: a multi-center validation.
@en
P2093
Guy Williams
Marta M Correia
Roger Tait
P2860
P356
10.3389/FNINS.2013.00095
P577
2013-06-10T00:00:00Z