Dynamic Contrast Enhanced (DCE); Computation Advanced Multiparametric Analysis; Kinetics Intravoxel Incoherent Motion (IVIM); Quantitative Results

Intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI), with a bi-exponential model, can not only observe the diffusion of tissue water molecules but also reflect the blood perfusion information of tissue microcirculation, compensating for the deficiencies of conventional DWI [15] .

Barbara Delcourt • Duez Denis Duez • Remacle Eric Remacle. Pocket/Paperback. 559:- Tillfälligt slut · bokomslag Intravoxel Incoherent Motion (IVIM) MRI Data-driven identification of tumor subregions based on intravoxel incoherent motion reveals association with proliferative activity. Magnetic Resonance in Abstract : Intravoxel incoherent motion (IVIM) analysis provides a means to obtain information on diffusion and perfusion from a single MRI sequence. Intravoxel incoherent motion. Responsible: Johan Wikström.

Intravoxel

signalbortfall (”intravoxel phase dispersion”) ytterligare till överskattning av stenoser och ocklusioner [33]. Rakare kärlförlopp, som på lår och underben, ger Use of intravoxel incoherent motion imaging to monitor a rat kidney chronic allograft damage model. Article. Full-text available.

The intravoxel incoherent motion (IVIM) model describes diffusion and perfusion in the signal acquired with a diffusion MRI sequence that contains multiple low b-values. The IVIM model can be understood as an adaptation of the work of Stejskal and Tanner [Stejskal65] in biological tissue, and was proposed by Le Bihan [LeBihan84]. The model assumes two compartments: a slow moving compartment

As both intravoxel incoherent motion (IVIM) modeling and dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) provide perfusion parameters, IVIM‐derived perfusion parameters might be expected to correlate with the kinetic features from DCE‐MRI. Se hela listan på academic.oup.com Intravoxel incoherent motion imaging was performed on a 3 T magnetic resonance imaging scanner using 15 b values (0–800 s/mm 2) for 4 phantoms with different area fractions of the flowing water compartment (FWC%), at the infusion flow rates of 0, 1, 2, and 3 mL/min. Images were quantitatively analyzed using monoexponential free biexponential, and segmented biexponential fitting models. Background To compare different fitting methods for determining IVIM (Intravoxel Incoherent Motion) parameters and to determine whether the use of different IVIM fitting methods would affect differentiation of cervix cancer from normal cervix tissue.

BACKGROUND AND PURPOSE: Despite a recent resurgence, intravoxel incoherent motion MRI faces practical challenges, including limited SNR and demanding acquisition and postprocessing requirements. A simplified approach using linear fitting of a subset of higher b-values has seen success in other organ systems.

Se hela listan på academic.oup.com Intravoxel incoherent motion imaging was performed on a 3 T magnetic resonance imaging scanner using 15 b values (0–800 s/mm 2) for 4 phantoms with different area fractions of the flowing water compartment (FWC%), at the infusion flow rates of 0, 1, 2, and 3 mL/min. Images were quantitatively analyzed using monoexponential free biexponential, and segmented biexponential fitting models. Background To compare different fitting methods for determining IVIM (Intravoxel Incoherent Motion) parameters and to determine whether the use of different IVIM fitting methods would affect differentiation of cervix cancer from normal cervix tissue. Methods Diffusion-weighted echo-planar imaging of 30 subjects was performed on a 3.0 T scanner with b-values of 0, 30, 100, 200, 400, 1000 s/mm2 27.

phase-contrast magnetic resonance imaging, turbulent flow, intravoxel velocity distribution, turbulence intensity, atherosclerosis apparent diffusion coefficient (ADC), perfusion fraction f, pseudodiffusion coefficient D*, and true diffusion coefficient D from intravoxel incoherent motion (IVIM) Pris: 1842 kr. inbunden, 2018. Skickas inom 5-7 vardagar. Köp boken Intravoxel Incoherent Motion (IVIM) MRI (ISBN 9789814800198) hos Adlibris. Fri frakt.
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However, the choice of the applied diffusion model can significantly influence the estimated diffusion parameters. The quality of the diffusion analysis can influence the reliability of the perfusion analysis. This study proposed In this project, the potential of magnetic resonance (MR) imaging and spectroscopy in studies of microcirculation and haemodynamics was evaluated. The spatial and temporal characteristics of human pulsatile brain-tissue movements in healthy individuals, relevant for the understanding of the cerebrospinal-fluid (CSF) circulation and the pathogenesis of hydrocephalus, were thoroughly investigated. 2016-07-07 · Objective Intravoxel incoherent motion (IVIM) is an MRI technique with potential applications in measuring brain tumor perfusion, but its clinical impact remains to be determined.

Crossref Medline Google Scholar; 15. 2018-06-28 · Lee Y, Lee SS, Kim N, et al. (2015) Intravoxel incoherent motion diffusion-weighted MR imaging of the liver: effect of triggering methods on regional variability and measurement repeatability of quantitative parameters.
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Intravoxel incoherent motion (IVIM) refers to translational movements which within a given voxel and during the measurement time present a distribution of speeds in orientation and/or amplitude.

Link, Google Scholar; 12 Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, Laval-Jeantet M. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 1988;168(2):497–505.

The intravoxel incoherent motion (IVIM) model describes diffusion and perfusion in the signal acquired with a diffusion MRI sequence that contains multiple low b-values. The IVIM model can be understood as an adaptation of the work of Stejskal and Tanner [Stejskal65] in biological tissue, and was proposed by Le Bihan [LeBihan84]. The model assumes two compartments: a slow moving compartment

However, perfusion‐related parameter mapping is a persistent problem. The purpose of this paper is to investigate the IVIM parameter mapping of brain tumors using Bayesian fitting and low b‐values.

Radiology.