Results 31 to 40 of about 140,778 (286)
Extreme diffusion values for non-Gaussian diffusions [PDF]
, 2008 A new magnetic resonance imaging (MRI) model, called diffusion kurtosis imaging (DKI), was recently proposed, to characterize the non-Gaussian diffusion behaviour in tissues.
Han, D, Qi, L, Wu, EX
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Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging technique. [PDF]
, 2020 To enable application of non-Gaussian diffusion magnetic resonance imaging (dMRI) techniques in large-scale clinical trials and facilitate translation to clinical practice there is a requirement for fast, high contrast, techniques that are sensitive to ...
Barrick, TR +9 more
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Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading
NeuroImage: Clinical, 2014 Gliomas are the most common intra-axial primary brain tumour; therefore, predicting glioma grade would influence therapeutic strategies. Although several methods based on single or multiple parameters from diagnostic images exist, a definitive method for
Rika Inano +8 more
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Longitudinal brain white matter alterations in minimal hepatic encephalopathy before and after liver transplantation. [PDF]
PLoS ONE, 2014 Cerebral edema is the common pathogenic mechanism for cognitive impairment in minimal hepatic encephalopathy. Whether complete reversibility of brain edema, cognitive deficits, and their associated imaging can be achieved after liver transplantation ...
Wei-Che Lin +8 more
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Diffusion tensor distribution imaging [PDF]
NMR in Biomedicine, 2019 Conventional diffusion MRI yields voxel‐averaged parameters that suffer from ambiguities for heterogeneous anisotropic materials such as brain tissue. Using principles from solid‐state NMR spectroscopy, we have previously introduced the shape of the diffusion encoding tensor as a separate acquisition dimension that disentangles isotropic and ...
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Finsler geometry on higher order tensor fields and applications to high angular resolution diffusion imaging. [PDF]
, 2009 We study 3D-multidirectional images, using Finsler geometry. The application considered here is in medical image analysis, specifically in High Angular Resolution Diffusion Imaging (HARDI) (Tuch et al. in Magn. Reson. Med.
A. Barmpoutis +19 more
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Rinsho Shinkeigaku, 2008 Diffusion tensor imaging of magnetic resonance imaging, including diffusion tensor tractography, is a unique tool to visualize and segment the white matter pathways in vivo and one can evaluate the segmented trace quantitatively. Three dimensional visualization of the white matter fibers, such as corticospinal (pyramidal) tracts, with relationship to ...
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Robust Reversible Watermarking Algorithm for Diffusion Tensor Images [PDF]
Jisuanji gongchengDiffusion Tensor Imaging (DTI) is a commonly used nuclear magnetic resonance imaging technology. To protect the copyright of diffusion tensor images and ensure the integrity of diffusion tensor data, a two-stage robust reversible watermarking algorithm ...
LI Dandan, LI Zhi, ZHENG Long, ZHANG Li
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Diagnostic and Interventional Radiology, 2022 PURPOSEThis article will examine the usefulness of diffusion tensor imaging (DTI) and diffusion-weighted imaging (DWI) on the assessment of axillary lymph nodes (ALN) of breast cancer patients.METHODSAxillary lymph nodes in 66 breast cancer patients were
Nazmi Kurt +8 more
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A connectome-based comparison of diffusion MRI schemes. [PDF]
PLoS ONE, 2013 Diffusion MRI has evolved towards an important clinical diagnostic and research tool. Though clinical routine is using mainly diffusion weighted and tensor imaging approaches, Q-ball imaging and diffusion spectrum imaging techniques have become more ...
Xavier Gigandet +9 more
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