DTI -
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Diffusion Weighted Imaging (DWI) is a Magnetic Resonance Imaging modality, that measures diffusion of water in tissues like the human brain. The package contains R-functions to process diffusion-weighted data. The functionality includes diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), modeling for high angular resolution diffusion weighted imaging (HARDI) using Q-ball-reconstruction and tensor mixture models, several methods for structural adaptive smoothing including POAS and msPOAS, and a streamline fiber tracking for tensor and tensor mixture models. The package provides functionality to manipulate and visualize results in 2D and 3D.
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Some patients with ischemic stroke are subject to hemorrhagic transformation, a complication leading to increased patient morbidity and mortality. The discovery of biomarkers that can be used to identify ischemic strokes prone to this complication are very important for the clinical practice because therapy could be altered to mitigate the risk. We discuss here the results of a trial that evaluated for the first time tight junction proteins as biomarkers of blood-brain barrier disruption and hemorrhagic transformation in ischemic stroke.
The molecules of any substance in a continuous media have a random movement determined by their thermal energy. The motion takes place over a distance in space which is determined by the diffusion coefficient (D), in accordance with Stokes-Einstein's law:
At the Department of Neurology of Emergency University Hospital Bucharest and \"Theodor Burghele\" Hospital Bucharest, we take advantage of this neuroimaging technique to study how neurological pathologies affect nervous fibers in multiple sclerosis patients (12-13).
As protocol, we start with a classic MRI exam which has a better spatial resolution, and then we apply the pulsed gradients of DTI, with exposure times that vary from 10 to 15 minutes.
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Your debt-to-income ratio, or DTI, is a percentage that tells lenders how much money you spend on monthly debt payments versus how much money you have coming into your household. You can calculate your DTI by adding up your monthly minimum debt payments and dividing it by your monthly pretax income.
Front-end DTI only includes housing-related expenses. This is calculated using your current monthly mortgage or rent payment, including property taxes and homeowners insurance as well as any applicable homeowners association dues.
Back-end DTI includes all your minimum required monthly debts. In addition to housing-related expenses, back-end DTIs include any required minimum monthly payments your lender finds on your credit report. This includes debts like credit cards, student loans, auto loans and personal loans.
Each lender will set their own requirements, though. Speak with your lender to find out what their requirements are. If you meet their qualifications, you may end up saving money by choosing a VA loan.
DTI Warehouse is a premier business process outsourcing organization that provides reliable, scalable, and cost-effective business solutions to help you enhance efficiency and increase profit. With a state-of-the-art facility and integrated technology, the experts at DTI are committed to quality and proficiency in helping you achieve your goals and promote success of your company. Regardless of the size of your entrepreneurial venture, DTI Warehouse has the necessary tools and expertise to alleviate the stress of your business operations. Our seamless approach of handling your storage needs, customer order fulfillment, and distribution allows us accommodate your specific supply chain demands.
Pattern of diffusion tensor MRI (DTI) alterations were investigated in pathologically-staged Alzheimer's disease (AD) patients (n = 46). Patients with antemortem DTI studies and a range of AD pathology at autopsy were included. Patients with a high neurofibrillary tangle (NFT) stage (Braak IV-VI) had significantly elevated mean diffusivity (MD) in the crus of fornix and ventral cingulum tracts, precuneus, and entorhinal white matter on voxel-based analysis after adjusting for age and time from MRI to death (p < 0.001). Higher MD and lower fractional anisotropy in the ventral cingulum tract, entorhinal, and precuneus white matter was associated with higher Braak NFT stage and clinical disease severity. There were no MD and fractional anisotropy differences among the low (none and sparse) and high (moderate and frequent) β-amyloid neuritic plaque groups. The NFT pathology of AD is associated with DTI alterations involving the medial temporal limbic connections and medial parietal white matter. This pattern of diffusion abnormalities is also associated with clinical disease severity.
syngo DTI (Diffusion Tensor Imaging) Tractography uses diffusion tensor data and allows 3D visualization of specific white matter tracts. For example, one can determine the location of the corticospinal tract or the thalamocortical tract with the help of syngo DTI Tractography.
In the brain, the axons of neurons form fiber tracts which impose directionality (anisotropy) on measurements of water diffusion. The aggregate diffusion of water within these tracts is quantified at each point by the diffusion tensor. Multiple parameters can be derived from the diffusion tensor, including the trace, ADC (Apparent Diffusion Coefficient), the relative anisotropy, and the fractional anisotropy. These secondary parameters are independent of the frame of reference and are very sensitive to white matter pathology.
syngo DTI (option, prerequisite) has optimized sequences for a complete description of the diffusion properties of the brain within the scope of the tensor diffusion model, both for anisotropic and isotropic diffusion which support excellent evaluation of diseases of the white matter.
syngo DTI Evaluation (option, prerequisite) is a post-processing tool for data obtained by syngo DTI Tractography and allows for quantitative evaluation of the rate and direction of water motion within a voxel, calculation of different diffusion parameters and visualization of colored diffusion tensor imaging maps like the Fractional Anisotropy maps. syngo DTI Evaluation also enables ROI-based evaluation of parameter images.
syngo DTI and syngo DTI Evaluation will help you identify anatomical substructures and with the help of fiber direction maps and fiber tracts (tractography) you will be able to assess the microstructural aspects of the brain lesions.
Diffusion-weighted magnetic resonance imaging (DWI or DW-MRI) is the use of specific MRI sequences as well as software that generates images from the resulting data that uses the diffusion of water molecules to generate contrast in MR images.[1][2][3] It allows the mapping of the diffusion process of molecules, mainly water, in biological tissues, in vivo and non-invasively. Molecular diffusion in tissues is not random, but reflects interactions with many obstacles, such as macromolecules, fibers, and membranes. Water molecule diffusion patterns can therefore reveal microscopic details about tissue architecture, either normal or in a diseased state. A special kind of DWI, diffusion tensor imaging (DTI), has been used extensively to map white matter tractography in the brain.
In diffusion weighted imaging (DWI), the intensity of each image element (voxel) reflects the best estimate of the rate of water diffusion at that location. Because the mobility of water is driven by thermal agitation and highly dependent on its cellular environment, the hypothesis behind DWI is that findings may indicate (early) pathologic change. For instance, DWI is more sensitive to early changes after a stroke than more traditional MRI measurements such as T1 or T2 relaxation rates. A variant of diffusion weighted imaging, diffusion spectrum imaging (DSI),[4] was used in deriving the Connectome data sets; DSI is a variant of diffusion-weighted imaging that is sensitive to intra-voxel heterogeneities in diffusion directions caused by crossing fiber tracts and thus allows more accurate mapping of axonal trajectories than other diffusion imaging approaches.[5] 781b155fdc