Diffusion tensor magnetic resonance imaging (DTI) is a relatively new technology that is popular for imaging the white matter of the brain. The goal of this review is to give a basic and broad overview of DTI such that the reader may develop an intuitive understanding of this type of data, and an awareness of its strengths and weaknesses.
Diffusion tensor magnetic resonance imaging (DTI) is a relatively new technology that is popular for imaging the white matter of the brain. This article provides a basic and broad overview of DTI.
Recently, several surveies on diffusion tensor imagination of the average nervus have been published. However, assorted imagination and Reconstruction parametric quantities were used. The intent of this survey was to consistently measure the optimum b-value for DTI and fiber tractography of the average nervus at 3.0T every bit good as optimum Reconstruction parametric quantities for fibre.
Quantitative Imaging Group Dept. of Imaging Science and Technology, TU Delft, NL Abstract—Diffusion Tensor MRI (DTI) is a rather recent image acquisition modality that can help identify disease processes in nerve bundles in the brain. Due to the large and complex nature of such data, its analysis requires new and sophisticated pipelines.
Abstract In this study, we present two different methods of multivariate analysis of voxel-based diffusion tensor imaging (DTI) data, using as an example data derived from 59 professional boxers and 12 age-matched controls. Conventional univariate analysis ignores much of the diffusion information contained in the tensor.
Diffusion tensor imaging (DTI) allows in vivo examination of the microstructural integrity of white matter brain tissue. A systematic review and quantitative meta-analysis using GingerALE were undertaken to compare current DTI findings in patients with ADHD and healthy controls to further unravel the neurobiological underpinnings of the disorder.
Diffusion Tensor Imaging Analysis of Frontal Lobes in Pediatric Traumatic Brain Injury Margaret B. Oni, MD, Elisabeth A. Wilde, PhD, Erin D. Bigler, PhD, Stephen R. McCauley, PhD, Trevor C. Wu, Ragini Yallampalli, Zili Chu, PhD, Xiaoqi Li, MS, Jill V. Hunter, MD, Ana C. Vasquez, and Harvey S. Levin, PhD Journal of Child Neurology201025:8, 976-984.
RESEARCH PAPER Diffusion tensor imaging studies of mild traumatic brain injury: a meta-analysis Yuta Aoki,1,2 Ryota Inokuchi,1,3 Masataka Gunshin,1 Naoki Yahagi,1,3 Hiroshi Suwa2 ABSTRACT Objectives To assess the possibility that diffusion tensor imaging (DTI) can detect white matter damage in mild traumatic brain injury (mTBI) patients via.
Diffusion tensor imaging (DTI) is a magnetic resonance imaging technique that allows for the visualization and characterization of the white matter tracts of the brain in vivo. DTI does not assess white matter directly.
Abstract: This study was to investigate the fractional anisotropy (FA) and mean diffusion (MD) values of diffusion tensor imaging (DTI) in the whole-brain voxel-based analysis of optic neuritis (ON) patients and examine their rela-tionship with visual evoked potentials. A total of 12 (4 male, 8 female) patients with ON and 12 age-, sex-, and edu -.
Diffusion Tensor Imaging in Amyotrophic Lateral Sclerosis: Volumetric Analysis of the Corticospinal Tract S. Wang H. Poptani M. Bilello X. Wu J.H. Woo L.B. Elman L.F. McCluskey J. Krejza E.R. Melhem BACKGROUND AND PURPOSE: Diffusion tensor imaging (DTI) allows direct visualization and volumetric analysis of the corticospinal tract (CST).
Diffusion Tensor MRI Technology Passive transport Active transport Diffusion and Osmosis Movement of particles across a membrane-- requiring use of energy from ATP Diffusion- random movement of particles, resulting in even distribution when no barriers are present.
Methods: Using diffusion tensor imaging (DTI) we employed a voxel-based analysis approach to examine fractional anisotropy (FA) in 86 patients experiencing an acute major depressive episode.
Closely the same locations were also investigated with diffusion tensor imaging (DTI) methods, such as fractional anisotrophy (FA) and apparent diffusion coefficient (ADC). Our results suggest that several hemispherical differences can be found both in texture analysis and diffusion tensor imaging.
DTI Diffusion tensor imaging SMD Standardized mean difference AIM This meta-analysis explored cerebral microstructural changes in individuals born preterm using fractional anisotropy from diffusion tensor imaging. METHOD We used the activation likelihood estimate (ALE) method for the meta-analysis to.Investigations of the white matter in patients with mesial temporal lobe epilepsy (MTLE) using diffusion tensor imaging (DTI) have been able to detect abnormalities predominantly, but unrestricted to, the temporal lobe allocated in a centrifugal pattern (Concha et al., 2012).ABSTRACT: The mathematical aspects of diffusion tensor magnetic resonance imaging (DTMRI, or DTI), the measurement of the diffusion tensor by magnetic resonance imaging (MRI), are discussed in this three-part series. Part III begins with a comparison of different ways to calculate the tensor from diffusion-weighted imaging data. Next, the.