Enhanced visualization and quantification of magnetic resonance diffusion tensor imaging using the p:q tensor decomposition.
about
Methodology of diffusion-weighted, diffusion tensor and magnetisation transfer imagingGlobal diffusion tensor imaging derived metrics differentiate glioblastoma multiforme vs. normal brains by using discriminant analysis: introduction of a novel whole-brain approach.Imaging biomarkers of brain tumour margin and tumour invasionBrain tumor classification using the diffusion tensor image segmentation (D-SEG) techniquePartial correlation analyses of global diffusion tensor imaging-derived metrics in glioblastoma multiforme: Pilot study.Multimodal MRI can identify perfusion and metabolic changes in the invasive margin of glioblastomas.Assessing and monitoring intratumor heterogeneity in glioblastoma: how far has multimodal imaging come?Evaluation of low-grade glioma structural changes after chemotherapy using DTI-based histogram analysis and functional diffusion maps.Diffusion tensor imaging profiles reveal specific neural tract distortion in normal pressure hydrocephalus.Diffusion tensor image segmentation of the cerebrum provides a single measure of cerebral small vessel disease severity related to cognitive change.Diffusion tensor invasive phenotypes can predict progression-free survival in glioblastomas.Combining Diffusion Tensor Metrics and DSC Perfusion Imaging: Can It Improve the Diagnostic Accuracy in Differentiating Tumefactive Demyelination from High-Grade Glioma?Diagnostic performance of regional DTI-derived tensor metrics in glioblastoma multiforme: simultaneous evaluation of p, q, L, Cl, Cp, Cs, RA, RD, AD, mean diffusivity and fractional anisotropy.Diffusion tensor imaging in glioblastoma multiforme and brain metastases: the role of p, q, L, and fractional anisotropy.Imaging Markers of Isocitrate Dehydrogenase-1 Mutations in Gliomas.Findings of DTI-p maps in comparison with T/T-FLAIR to assess postoperative hyper-signal abnormal regions in patients with glioblastoma
P2860
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P2860
Enhanced visualization and quantification of magnetic resonance diffusion tensor imaging using the p:q tensor decomposition.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Enhanced visualization and qua ...... the p:q tensor decomposition.
@en
Enhanced visualization and qua ...... the p:q tensor decomposition.
@nl
type
label
Enhanced visualization and qua ...... the p:q tensor decomposition.
@en
Enhanced visualization and qua ...... the p:q tensor decomposition.
@nl
prefLabel
Enhanced visualization and qua ...... the p:q tensor decomposition.
@en
Enhanced visualization and qua ...... the p:q tensor decomposition.
@nl
P2093
P2860
P356
P1476
Enhanced visualization and qua ...... the p:q tensor decomposition.
@en
P2093
H A L Green
J D Pickard
J H Gillard
T A Carpenter
P2860
P304
P356
10.1259/BJR/24908512
P407
P577
2006-02-01T00:00:00Z