Diffusion Tensor Imaging
Diffusion Tensor Imaging - Related Videos
12:28
Using Diffusion Tensor Imaging in Traumatic Brain Injury
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California Traditional brain imaging techniques using MRI are very good at visualizing the gross structures of the brain. A structural brain image made with MRI provides high contrast of the borders between gray and white matter, and information about the size and shape of brain structures. However, these images do not detail the underlying structure and integrity of white matter networks in the brain, which...
05:20
Assessing Spinal Cord Compression Using Diffusion Tensor Imaging
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2025
Source: Zheng, W. et. al., Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression. J. Vis. Exp. (2019)This video demonstrates diffusion tensor imaging in assessing chronic spinal cord compression. By analyzing water diffusion patterns, fractional anisotropy, and apparent diffusion coefficient values, the findings reveal axonal damage in compressed regions. The findings provide critical insights into spinal cord pathology and structural integrity.
09:33
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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Cited by 49 •
2013
Diffusion tensor imaging (DTI) basically serves as an MRI-based tool to identify in vivo the microstructure of the brain and pathological processes due to neurological disorders within the cerebral white matter. DTI-based analyses allow for application to brain diseases both at the group level and in single subject data.
12:21
Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
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Cited by 15 •
2011
Neuroimaging techniques, such as functional MRI and Diffusion Tensor Imaging have become increasingly useful in characterizing the cognitive and neural deficits in autism. An examination of brain connectivity in autism at a network level along with adaptations for scanning children with developmental disabilities is presented.
13:26
Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
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Cited by 5 •
2016
This manuscript describes deterministic and probabilistic algorithms for white matter (WM) reconstruction, used to examine differences in optic radiation (OR) connectivity between albinism and controls. Although probabilistic tractography follows the true course of nerve fibers more closely, deterministic tractography was run to compare the reliability and reproducibility of both techniques.
FAQs
Diffusion-sensitive magnetic field gradients make the MRI signal responsive to water movement in particular tissue directions. The resulting measurements are organized into a tensor, a mathematical representation that records both diffusion magnitude and directional behavior. This directional encoding allows tissue architecture to be assessed quantitatively rather than inferred only from anatomical appearance.
Fractional anisotropy and mean diffusivity summarize different features of the diffusion tensor. Fractional anisotropy indicates how strongly diffusion favors particular directions, whereas mean diffusivity represents the overall magnitude of diffusion. Considering both measures helps distinguish directional organization from general changes in water mobility when evaluating tissue structure or injury.
Aligned fibers restrict water movement more strongly across their structure than along a preferred axis. This unequal restriction produces anisotropic diffusion, meaning that direction affects the measured magnitude. The pattern is useful for identifying organized tissue architecture and for evaluating whether engineered or injured tissue retains, loses, or develops directional organization.
A typical workflow begins by acquiring magnetic resonance measurements with diffusion-sensitive field gradients. The measurements are then represented as tensors that describe water movement, followed by calculation of metrics such as fractional anisotropy and mean diffusivity. Researchers interpret these values in relation to tissue organization, fiber alignment, injury, or repair.
In bioengineering, DTI provides quantitative information for mapping white-matter pathways and characterizing tissue organization without invasive sampling. The same measurements can support the design or evaluation of biomaterials and engineered tissues by showing whether their internal architecture exhibits the intended directional properties. They also contribute to assessments of neural interfaces and tissue repair.
DTI can reveal changes in tissue architecture through altered diffusion directionality and magnitude. Measurements such as fractional anisotropy and mean diffusivity provide quantitative indicators for comparing organized tissue, injured tissue, and tissue undergoing repair. In bioengineering studies, these outcomes help evaluate whether a biomaterial or engineered construct supports the desired structural organization.