Results 1 to 10 of about 149,448 (338)

Probing white-matter microstructure with higher-order diffusion tensors and susceptibility tensor MRI [PDF]

Frontiers in Integrative Neuroscience, 2013
Diffusion MRI has become an invaluable tool for studying white matter microstructure and brain connectivity. The emergence of quantitative susceptibility mapping and susceptibility tensor imaging has provided another unique tool for assessing the ...
Chunlei eLiu, Chunlei eLiu, Nicole eMurphy, Wei eLi   +3 more
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ANALYSIS OF FRACTIONAL ANISOTROPY (FA) VALUES AND APPARENT DIFFUSION COEFFICIENT (ADC) VALUES IN ISCHEMIC STROKE DISEASES OF MRI GE 3 TESLA [PDF]

Journal of Vocational Health Studies, 2019
Background: Diffusion Weighted Imaging and Diffusion Tensor Imaging is an advanced technique in MRI that shows the diffusion in brain of ischemic stroke disease.
Ali Mustofa, Anggraini Dwi Sensusiati, Muhaimin Muhaimin, Sri Andreani Utomo, Risalatul Latifah   +4 more
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Structural Adaptive Smoothing in Diffusion Tensor Imaging: The R Package dti [PDF]

Journal of Statistical Software, 2009
Diffusion weighted imaging has become and will certainly continue to be an important tool in medical research and diagnostics. Data obtained with diffusion weighted imaging are characterized by a high noise level.
Jorg Polzehl, Karsten Tabelow
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Prediction of the motor prognosis with diffusion tensor imaging in hemorrhagic stroke: a meta-analysis

Journal of Integrative Neuroscience, 2021
This paper investigates whether diffusion tensor imaging performed within 2 weeks of intracerebral hemorrhage onset could predict the motor outcome by categorizing previous diffusion tensor imaging studies based on the time-point of performing ...
Min Cheol Chang, Sang Gyu Kwak, Donghwi Park   +2 more
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Singlet-assisted diffusion-NMR (SAD-NMR): extending the scope of diffusion tensor imaging via singlet NMR

Frontiers in Chemistry, 2023
In this study, long-lived nuclear singlet order methods are combined with diffusion tensor imaging with the purpose of characterizing the full diffusion tensor of molecules diffusing freely in large pores of up to a millimeter in size. Such sizes are out
Giulia Melchiorre, Francesco Giustiniano, Sundeep Rathore, Giuseppe Pileio   +3 more
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Magnetic resonance imaging parameters on lacrimal gland in thyroid eye disease: a systematic review and meta-analysis

BMC Ophthalmology, 2023
Background Thyroid eye disease is an extrathyroidal manifestation of Graves’ disease and is associated with dry eye disease. This is the first systematic review and meta-analysis to evaluate the role of magnetic resonance imaging lacrimal gland ...
Nicole Tsz Yan Wong, Ka Fai Kevin Yuen, Fatema Mohamed Ali Abdulla Aljufairi, Kenneth Ka Hei Lai, Zhichao Hu, Karen Kar Wun Chan, Clement Chee Yung Tham, Chi Pui Pang, Kelvin Kam Lung Chong   +8 more
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Correlation between diffusion tensor indices and fascicular morphometric parameters of peripheral nerve

Frontiers in Physiology, 2023
Introduction: Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique that measures the anisotropy of water diffusion. Clinical magnetic resonance imaging scanners enable visualization of the structural integrity of larger axonal ...
Luka Pušnik, Igor Serša, Nejc Umek, Erika Cvetko, Žiga Snoj, Žiga Snoj   +5 more
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Inter-vendor and inter-observer reliability of diffusion tensor imaging in the musculoskeletal system: a multiscanner MR study

Insights into Imaging, 2023
Key points 1. Diffusion tensor imaging shows excellent inter-observer reliability. 2. Diffusion tensor imaging shows excellent inter-vendor reliability. 3.
Vito Chianca, Domenico Albano, Stefania Rizzo, Mario Maas, Luca Maria Sconfienza, Filippo Del Grande   +5 more
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Diffusion-weighted imaging and diffusion tensor imaging of the heart in vivo: major developments

Advances in Interventional Cardiology, 2022
Diffusion-weighted magnetic resonance imaging (DWI) is a powerful diagnostic tool. Contrast in DWI images is dictated by the differences in diffusion of water in tissues, which depends on the tissue type, hydration and fluid composition.
Weronika Mazur, Artur Krzyżak, Franciszek Hennel   +2 more
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Exploiting Spatial Information to Enhance DTI Segmentations via Spatial Fuzzy c-Means with Covariance Matrix Data and Non-Euclidean Metrics

Applied Sciences, 2021
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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