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Elition 3.0t x

Manufactured by Philips

The Elition 3.0T X is a magnetic resonance imaging (MRI) system manufactured by Philips. It operates at a field strength of 3.0 Tesla, providing high-quality imaging capabilities. The core function of the Elition 3.0T X is to generate detailed images of the body's internal structures for diagnostic and clinical purposes.

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Lab products found in correlation

2 protocols using elition 3.0t x

1

MRI Acquisition and Lesion Identification in MS

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MRI was performed in a 3T Philips scanner equipped with a 32-channel head coil (Elition 3.0T X, Philips Medical Systems, Best, The Netherlands) at the Gruss Magnetic Resonance Research Center of Albert Einstein College of Medicine. High resolution 3D T1-weighted (MPRAGE) structural brain images were acquired for registration, WM segmentation and to identify T1-hypointense MS lesions (TE/TR/TI: 4.6/9.7/900 ms, voxel size: 1 mm isotropic, flip angle: 8). 3D fluid-attenuated inversion recovery (FLAIR) images were acquired for identification of hyper-intense T2 lesions (TE/TR/TI: 365/4800/1650 ms, voxel size: 1 mm isotropic); both FLAIR and T1 images were used to identify and quantify MS lesions (see below).
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2

MRI Brain Structural Analysis of Subcortical Volumes

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MRI was performed in a 3T Philips scanner equipped with a 32-channel head coil (Elition 3.0T X, Philips Medical Systems, Best, The Netherlands) at the Gruss Magnetic Resonance Research Center of Albert Einstein College of Medicine. High resolution 3D T1-weighted (MPRAGE) structural images of the brain were acquired for registration, and gray and white matter segmentation including segmentation of subcortical nuclei (TE/TR/TI= 4.6/9.7/900 ms, voxel size 1 mm isotropic, flip angle = 8°).
High-resolution T1-weighted structural images were brain extracted using the FSL FMRIB Structural Toolkit (14 (link)) and segmented into gray, white, and cerebrospinal fluid (CSF) components using FSL’s FAST (15 (link)). The Harvard-Oxford subcortical (16 (link)) atlas from the FreeSurfer software package (http://surfer.nmr.mgh.harvard.edu/) was used to perform automatic segmentation to extract subcortical volumes from all study participants including the caudate nuclei (regions 5 and 16 for the left and right caudate, respectively). These atlas regions were registered across our entire sample and volumes were extracted for each participant.
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