Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging.
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A comparison of brain and serum pharmacokinetics of R-fluoxetine and racemic fluoxetine: A 19-F MRS studyAn open source multivariate framework for n-tissue segmentation with evaluation on public data.MRI anatomy of schizophrenia.Principles of T2 *-weighted dynamic susceptibility contrast MRI technique in brain tumor imaging.A review of the automated detection of change in serial imaging studies of the brain.Handling changes in MRI acquisition parameters in modeling whole brain lesion volume and atrophy data in multiple sclerosis subjects: Comparison of linear mixed-effect modelsA majority rule approach for region-of-interest-guided streamline fiber tractography.Segmentation of multiple sclerosis lesions in MR images: a review.Angiotensin receptor gene polymorphisms and 2-year change in hyperintense lesion volume in men.Magnetic resonance imaging study of hippocampal volume in chronic, combat-related posttraumatic stress disorder.Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation.Towards automated detection of depression from brain structural magnetic resonance images.Characterization of the corpus callosum in very preterm and full-term infants utilizing MRI.Application of quantitative MRI for brain tissue segmentation at 1.5 T and 3.0 T field strengths.Robust statistical label fusion through COnsensus Level, Labeler Accuracy, and Truth Estimation (COLLATE).A fully automated method for quantifying and localizing white matter hyperintensities on MR images.A reference-free method for brightness compensation and contrast enhancement of micrographs of serial sectionsRelationship between white matter volume and cognitive performance during adolescence: effects of age, sex and risk for drug use.Mania, glutamate/glutamine and risperidone in pediatric bipolar disorder: a proton magnetic resonance spectroscopy study of the anterior cingulate cortex.Corpus callosum alterations in very preterm infants: perinatal correlates and 2 year neurodevelopmental outcomes.Brain MRI segmentation with multiphase minimal partitioning: a comparative study.Hippocampal shape variations at term equivalent age in very preterm infants compared with term controls: perinatal predictors and functional significance at age 7Validation of alternating Kernel mixture method: application to tissue segmentation of cortical and subcortical structuresMagnetic resonance imaging of multiple sclerosis lesions. Measuring outcome in treatment trials.An MRI study of age-related white and gray matter volume changes in the rhesus monkeyAging, gender, and the elderly adult brain: an examination of analytical strategies.FLAIR histogram segmentation for measurement of leukoaraiosis volume.A hierarchical algorithm for MR brain image parcellation.Left orbital frontal cortex volume and performance on the benton visual retention test in older depressives and controls.Accelerated corpus callosum development in prematurity predicts improved outcome.Characterizing spatially varying performance to improve multi-atlas multi-label segmentation.Putamen Volume Differences Among Older Adults: Depression Status, Melancholia, and Age.Cognitive correlates of medial temporal lobe development across adolescence: a magnetic resonance imaging study.Orbitofrontal cortex volume in late life depression: influence of hyperintense lesions and genetic polymorphisms.Novel whole brain segmentation and volume estimation using quantitative MRI.Evaluation of surface and volume rendering in 3D-CT of facial fractures.Quantitative analysis of MRI signal abnormalities of brain white matter with high reproducibility and accuracy.Automatically measuring brain ventricular volume within PACS using artificial intelligence.Has your patient's multiple sclerosis lesion burden or brain atrophy actually changed?Laboratory Investigation:Automatic Identification of Gray Matter Structures from MRI to Improve the Segmentation of White Matter Lesions
P2860
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P2860
Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging.
description
1992 nî lūn-bûn
@nan
1992年の論文
@ja
1992年学术文章
@wuu
1992年学术文章
@zh
1992年学术文章
@zh-cn
1992年学术文章
@zh-hans
1992年学术文章
@zh-my
1992年学术文章
@zh-sg
1992年學術文章
@yue
1992年學術文章
@zh-hant
name
Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging.
@en
Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging.
@nl
type
label
Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging.
@en
Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging.
@nl
prefLabel
Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging.
@en
Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging.
@nl
P2093
P2860
P356
P1476
Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging.
@en
P2093
Anderson M
Guttmann CR
Lorensen W
Shenton ME
P2860
P304
P356
10.1002/JMRI.1880020603
P577
1992-11-01T00:00:00Z