Assessment of tissue heterogeneity using diffusion tensor and diffusion kurtosis imaging for grading gliomas
Published 2016 View Full Article
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Title
Assessment of tissue heterogeneity using diffusion tensor and diffusion kurtosis imaging for grading gliomas
Authors
Keywords
Diffusion tensor imaging, Diffusion kurtosis imaging, Glioma grading, Textural features
Journal
NEURORADIOLOGY
Volume 58, Issue 12, Pages 1217-1231
Publisher
Springer Nature
Online
2016-10-29
DOI
10.1007/s00234-016-1758-y
References
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- The Added Value of Apparent Diffusion Coefficient to Cerebral Blood Volume in the Preoperative Grading of Diffuse Gliomas
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- Diffusion Tensor MR Imaging of Cerebral Gliomas: Evaluating Fractional Anisotropy Characteristics
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- (2010) Peter Raab et al. RADIOLOGY
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- Magnetic resonance imaging of pilocytic astrocytomas: usefulness of the minimum apparent diffusion coefficient (adc) value for differentiation from high-grade gliomas
- (2008) R. Murakami et al. ACTA RADIOLOGICA
- Preoperative Grading of Presumptive Low-Grade Astrocytomas on MR Imaging: Diagnostic Value of Minimum Apparent Diffusion Coefficient
- (2008) E.J. Lee et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Evaluation of human brain tumor heterogeneity using multipleT1-based MRI signal weighting approaches
- (2008) Manus J. Donahue et al. MAGNETIC RESONANCE IN MEDICINE
- Towards better MR characterization of neural tissues using directional diffusion kurtosis analysis
- (2008) Edward S. Hui et al. NEUROIMAGE
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