Results 41 to 50 of about 2,847,330 (149)

Intravoxel Incoherent Motion Model of Diffusion Weighted Imaging and Diffusion Kurtosis Imaging in Differentiating of Local Colorectal Cancer Recurrence from Scar/Fibrosis Tissue by Multivariate Logistic Regression Analysis

open access: yesApplied Sciences, 2020
Purpose: The aim of the study is to evaluate the potential of Intravoxel incoherent motion model of diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) in the differentiation of local colorectal cancer recurrence (LCR) from scar ...
Roberta Fusco   +12 more
doaj   +1 more source

Differentiation of placenta percreta through MRI features and diffusion-weighted magnetic resonance imaging

open access: yesInsights into Imaging, 2023
Objectives To identify whether parameters measured from diffusion kurtosis and intravoxel incoherent motion help diagnose placenta percreta. Methods We retrospectively enrolled 75 patients with PAS disorders including 13 patients with placenta percreta ...
Hang Li   +7 more
doaj   +1 more source

Diffusion-Weighted MRI and Diffusion Kurtosis Imaging to Detect RAS Mutation in Colorectal Liver Metastasis

open access: yes, 2020
We uploaded dataset including apparent diffusion coefficient (ADC), basal signal (S0), pseudo-diffusion coefficient (DP), perfusion fraction (FP), tissue diffusivity (DT) and DKI data (mean of diffusion coefficient (MD) and mean of diffusional Kurtosis ...
Roberta Fusco   +10 more
core   +1 more source

Axisymmetric diffusion kurtosis imaging with Rician bias correction: A simulation study

open access: yes, 2022
Purpose To compare the estimation accuracy of axisymmetric diffusion kurtosis imaging (DKI) and standard DKI in combination with Rician bias correction (RBC).
Tabelow, Karsten   +5 more
core   +1 more source

Postnatal Guinea Pig Brain Development, as Revealed by Magnetic Resonance and Diffusion Kurtosis Imaging

open access: yesBrain Sciences, 2020
This study used in vivo magnetic resonance imaging (MRI) to identify age dependent brain structural characteristics in Dunkin Hartley guinea pigs. Anatomical T2-weighted images, diffusion kurtosis (DKI) imaging, and T2 relaxometry measures were acquired ...
Roger J. Mullins   +6 more
doaj   +1 more source

Constrained Diffusion Kurtosis Imaging Using Ternary Quartics and MLE

open access: yes, 2012
We present a ternary quartic based approach with an improved gradient based optimization scheme for diffusion kurtosis imaging to estimate constrained and physically realistic diffusion and kurtosis tensors. We account for the signal noise by considering
Milne, Tristan   +2 more
core   +1 more source

Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid-β-induced pathology

open access: yesAlzheimer’s Research & Therapy, 2018
Background Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and the most common cause of dementia in the elderly population. In this study, we used the APP/PS1 transgenic mouse model to explore the feasibility of using diffusion ...
Jelle Praet   +18 more
doaj   +1 more source

Implementation of anatomical navigators for real time motion correction in diffusion tensor imaging [PDF]

open access: yes, 2012
Includes bibliographical references.Prospective motion correction methods using an optical system, diffusion-weighted prospective acquisition correction, or a free induction decay navigator have recently been applied to correct for motion in diffusion ...
Alhamud, Alkathafi Ali
core   +1 more source

Constrained diffusion kurtosis imaging using ternary quartics & MLE

open access: yes, 2012
International audiencePurpose: Diffusion kurtosis imaging (DKI) is a recent improvement over diffusion tensor imaging that characterizes tissue by quantifying non-gaussian diffusion using a 3D fourth-order kurtosis tensor.
Tristan Milne   +5 more
core   +1 more source

Bias in MRI Measurements of Apparent Diffusion Coefficient and Kurtosis: Implications for Choice of Maximum Diffusion Encoding [PDF]

open access: yes, 2019
Tissue water diffusion is non-Gaussian and the expressions used to calculate diffusion parameters are approximations which introduce systematic errors dependent on the maximum diffusion encoding, diffusion time, etc.
Johnson, Glyn   +2 more
core   +1 more source

Home - About - Disclaimer - Privacy