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About 10,000 papers for “diffusion tensor imaging”

Diffusion Tensor Imaging

Elisabeth A. Wilde, Kareem W. Ayoub, Asim F. Choudhri · Oxford University Press eBooks · 2014

Diffusion tensor imaging (DTI) is a method of specifying and visualizing the functional integrity of white matter tracts that contribute to the functional and structural connectivity among different brain regions through the examination of water diffusion through tissue. It has gained rapid popularity in the past two decades, particularly for elucidating the process of normal white matter development and the effects of aging on it, as well as providing some insights into the possible neuroanatomical correlates of numerous psychiatric and neurologic disorders. This chapter outlines the instrumentation and the procedures employed in deriving estimates of the functional integrity of anatomical connections in the brain, and issues regarding the reliability and validity of the different DTI procedures are systematically addressed.

Cited by 4

Diffusion tensor imaging

Harushi Mori · 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 brain lesions (infarcts, vascular malformations and brain tumors) is extremely helpful for stereotactic radiosurgery, preoperative evaluation and intraoperative navigation. Quantitative measurement of the tract is a very sensitive method to detect differences in the tract in neurodegenerative/neurocognitive/psychiatric patients such as amyotrophic lateral sclerosis, schizophrenia and Alzheimer diseases. Importance of this tool will become more significant in clinical and neuroscience fields in the future.

Cited by 7Open access

Diffusion Tensor Imaging

Sara C. Chaker, Anvith Palla Reddy, Daniella King et al. · Annals of Plastic Surgery · 2024

Peripheral nerve injuries (PNIs) represent a complex clinical challenge, necessitating precise diagnostic approaches for optimal management. Traditional diagnostic methods often fall short in accurately assessing nerve recovery as these methods rely on the completion of nerve reinnervation, which can prolong a patient's treatment. Diffusion tensor imaging (DTI), a noninvasive magnetic resonance imaging (MRI) technique, has emerged as a promising tool in this context. DTI offers unique advantages including the ability to quantify nerve recovery and provide in vivo visualizations of neuronal architecture. Therefore, this review aims to examine and outline DTI techniques and its utility in detecting distal nerve regeneration in both preclinical and clinical settings for peripheral nerve injury.

Cited by 14

Diffusion tensor imaging

Tröstl, Jasmin · reposiTUm (TU Wien) · 2011

Diffusion tensor imaging is a magnetic resonance imaging technique which allows for approximating the grade of anisotropy of water diffusion in organized matter, such as the human brain or muscles.<br />Depending on the tissue, diffusion is either isotropic (e.g. grey matter) or directed (e.g. white matter). These differences can be approximated for every voxel by using a tensor. With this diffusion tensor the diffusion strength, direction and directionallity can be estimated.<br />On the basis of diffusion tensor imaging nerve bundles and fiber tracts can be reconstructed using fiber tractography. This method can be used for the identifica tion of fiber tracts and toanalyze tract integrity.<br />Here this magnetic resonance imaging technique was applied to investigate white matter differences between social phobia patients and healthy controls.<br />

Cited by 0

Diffusion Tensor Imaging

Steven M. Stufflebeam, Thomas Witzel, Szymon Mikulski et al. · 2014

The neurophysiological basis of variability in the latency of evoked neural responses has been of interest for decades. We describe a method to identify white matter pathways that may contribute to inter-individual variability in the timing of neural activity. We investigated the relation of the latency of peak visual responses in occipital cortex as measured by magnetoencephalography (MEG) to fractional anisotropy (FA) in the entire brain as measured with diffusion tensor imaging (DTI) in eight healthy young adults. This method makes no assumptions about the anatomy of white matter connections. Visual responses were evoked during a saccadic paradigm and were time-locked to arrival at a saccadic goal. The latency of the peak visual response was inversely related to FA in bilateral parietal and right lateral frontal white matter adjacent to cortical regions that modulate early visual responses. These relations suggest that biophysical properties of white matter affect the timing of early visual responses. This preliminary report demonstrates a non-invasive, unbiased method to relate the timing information from evoked-response experiments to the biophysical properties of white matter measured with DTI.

Cited by 0Open access

Diffusion Tensor Imaging

Carissa J. Cascio, Guido Gerig, Joseph Piven · Journal of the American Academy of Child & Adolescent Psychiatry · 2007

Cited by 170

Diffusion Tensor Imaging

Derek K. Jones, Alexander Leemans · Methods in molecular biology · 2010

Diffusion tensor MRI (DT-MRI) is the only non-invasive method for characterising the microstructural organization of tissue in vivo. Generating parametric maps that help to visualise different aspects of the tissue microstructure (mean diffusivity, tissue anisotropy and dominant fibre orientation) involves a number of steps from deciding on the optimal acquisition parameters on the scanner, collecting the data, pre-processing the data and fitting the model to generating final parametric maps for entry into statistical data analysis. Here, we describe an entire protocol that we have used on over 400 subjects with great success in our laboratory. In the 'Notes' section, we justify our choice of the various parameters/choices along the way so that the reader may adapt/modify the protocol to their own time/hardware constraints.

Cited by 387

Diffusion Tensor Imaging

Süleyman Sener, Wim Van Hecke, Bart Feyen et al. · Neurosurgery · 2016

aSAH, aneurysmal subarachnoid hemorrhageDTI, diffusion tensor imagingFA, fractional anisotropyGOSE, Glasgow Outcome Scale ExtendedTBI, traumatic brain injuryTE, echo timeTR, repetition time.

Cited by 33