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To perform a quantitative analysis across the two groups, we first used the Johns Hopkins University tractography atlas to define 20 regions of interest (ROI), and the scans from the control subjects to create a reference database that included the mean and standard deviation values in each ROI.
MEDINRIA DATE REGISTRATION
An affine linear registration routine part of FSL was also used to align the 32 images to the reference image.įor each DTI dataset, diffusion Fractional Anisotropy (FA), Mean Diffusivity (MD) or Apparent Diffusion Coefficient (ADC), and probabilistic tractography were estimated using FSL and the software package MedInria, with an FA threshold of 200, a minimum length for the detected fibers of 20 mm, and volume sampling every 5 voxels. Image distortions, resulting from susceptibility-induced and by eddy current-induced off-resonance fields, were corrected using routines from the software package FSL. Images were acquired on three different visits, two weeks and four weeks, respectively, after the first recording, using a 3.0 T. Since Orthanc 1.5.0, the DicomModalitiesInDatabase configuration option can be. the scarcity of adequate training data and how big data could be implemented in medical domain is still implicit as on date.
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Thirteen acute mTBI patients 18-50 years of age and seven age- and sex-matched controls with no head injury were recruited from the emergency department of Huntington Memorial Hospital in Pasadena, CA. You are resurrecting an old thread from 2016 that is not up to date anymore. In this study we investigated whether Diffusion Tensor Imaging (DTI) could be used to assess recovery in patients with mild traumatic brain injury (mTBI).