2006•Wiley Encyclopedia of Biomedical EngineeringRequires access

Diffusion Tensor Imaging

Xiaohong Joe Zhou

Open publisher page 4 citations

Abstract

Abstract Diffusion tensor imaging (DTI), or diffusion tensor magnetic resonance imaging (DT‐MRI), is a technique that measures the orientation dependence (i.e., anisotropy) of the diffusion process. This technique relies on diffusion‐induced MRI signal loss as a function of diffusion‐weighting gradient orientations. With DTI, the diffusion tensor at each spatial location can be characterized, and a series of parameters can be obtained to describe various aspects of the diffusion process in biological tissues. Typical parameters calculated from DTI include apparent diffusion coefficients (ADC), diffusion anisotropy indices, and the principal diffusion direction. These parameters (e.g., fractional anisotropy, or FA) can be used to reveal specific tissue structures, such as white‐matter fiber tracts in the brain, and detect their changes during disease progression and regression.

About this research paper

What this paper is about

Abstract Diffusion tensor imaging (DTI), or diffusion tensor magnetic resonance imaging (DT‐MRI), is a technique that measures the orientation dependence (i.e., anisotropy) of the diffusion process. This technique relies on diffusion‐induced MRI signal loss as a function of diffusion‐weighting gradient orientations. With DTI, the diffusion tensor at each spatial location can be characterized, and a series of parameters can be obtained to describe various aspects of the diffusion process in biological tissues. Typical parameters calculated from DTI include apparent diffusion coefficients (ADC), diffusion anisotropy indices, and the principal diffusion direction. These parameters (e.g., fractional anisotropy, or FA) can be used to reveal specific tissue structures, such as white‐matter fiber tracts in the brain, and detect their changes during disease progression and regression.

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract Diffusion tensor imaging (DTI), or diffusion tensor magnetic resonance imaging (DT‐MRI), is a technique that measures the orientation dependence (i.e., anisotropy) of the diffusion process. This technique relies on diffusion‐induced MRI signal loss as a function of diffusion‐weighting gradient orientations. With DTI, the diffusion tensor at each spatial location can be characterized, and a series of parameters can be obtained to describe various aspects of the diffusion process in biological tissues. Typical parameters calculated from DTI include apparent diffusion coefficients (ADC), diffusion anisotropy indices, and the principal diffusion direction. These parameters (e.g., fractional anisotropy, or FA) can be used to reveal specific tissue structures, such as white‐matter fiber tracts in the brain, and detect their changes during disease progression and regression.

Key concepts: Diffusion MRI, Fractional anisotropy, Diffusion, Anisotropy, White matter, Nuclear magnetic resonance, Diffusion imaging, Tensor (intrinsic definition)

Related papers

Back to paper searchBrowse research topicsOriginal source
Diffusion Tensor Imaging — Research Paper | ScholarLens