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Stochastic Algorithms for White Matter Fiber Tracking and the Inference of Brain Connectivity from MR Diffusion Tensor Data [PDF]
, 2005 We consider several stochastic algorithms for fiber tracking and compute the connectivity matrix from data obtained by magnetic resonance diffusion tensor imaging of the living human ...
Hahn, Klaus, Prigarin, Sergej
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Diffusion tensor imaging with direct cytopathological validation: Characterisation of decorin treatment in experimental juvenile communicating hydrocephalus [PDF]
, 2016 BACKGROUND: In an effort to develop novel treatments for communicating hydrocephalus, we have shown previously that the transforming growth factor-β antagonist, decorin, inhibits subarachnoid fibrosis mediated ventriculomegaly; however decorin’s ability ...
Abdullah, Osama +6 more
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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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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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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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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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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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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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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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Neural Regeneration Research, 2015 Diffusion tensor imaging is a sensitive way to reflect axonal necrosis and degeneration, glial cell regeneration and demyelination following spinal cord injury, and to display microstructure changes in the spinal cord in vivo.
Duo Zhang +3 more
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