Results 11 to 20 of about 54,658 (257)
A diffusion tensor models the covariance of the Brownian motion of water at a voxel and is required to be symmetric and positive semi-definite. Therefore, image processing approaches, designed for linear entities, are not effective for diffusion tensor ...
Safa Elsheikh, Andrew Fish, Diwei Zhou
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Diffusion Tensor Imaging [PDF]
AbstractThis unit provides step‐by‐step instructions on how to perform diffusion tensor imaging (DTI) in a clinical setting. A brief introduction on DTI techniques and current clinical applications is also presented. Additional technical details, practical considerations, and anticipated results are discussed in a commentary section.
Zhou, Xiaohong Joe, Thulborn, Keith R.
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Diffusion Tensor Imaging [PDF]
Diffusion tensor imaging (DTI) is an advanced magnetic resonance imaging (MRI) technique that provides detailed information about tissue microstructure such as fiber orientation, axonal density, and degree of myelination. DTI is based on the measurement of the diffusion of water molecules.
Inga Katharina Koerte, Marc Muehlmann
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In ovo monitoring of smooth muscle fiber development in the chick embryo: diffusion tensor imaging with histologic correlation. [PDF]
BACKGROUND: Magnetic resonance imaging is a noninvasive method of evaluating embryonic development. Magnetic resonance diffusion tensor imaging, which is based on the measuring the directional diffusivity of water molecules, is an established method of ...
Jianrong Xu +7 more
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Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading
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]
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]
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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Robust Reversible Watermarking Algorithm for Diffusion Tensor Images [PDF]
Diffusion 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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A connectome-based comparison of diffusion MRI schemes. [PDF]
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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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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