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3t hdxt mri

Manufactured by GE Healthcare

The 3T HDxt MRI is a magnetic resonance imaging (MRI) system developed by GE Healthcare. It operates at a magnetic field strength of 3 Tesla, providing high-resolution images for clinical and research applications. The system is designed to deliver efficient performance and streamlined workflow.

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3 protocols using 3t hdxt mri

1

Delirium and Brain Anatomy in MRI Scans

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For this study, all participants who had undergone MRI scans prior to surgery without dementia (N=145, n=32 with delirium) were included. We analyzed the magnetization-prepared fast gradient-echo 3D anatomical T1-weighted imaging (TR 7.9 ms, TE 3.2 ms, 15° flip angle, 32 kHz bandwidth, coronal acquisition plane with 24×19 cm field of view, 0.94 mm in-plane resolution, 1.4 mm slices, preparation time of 1100 ms with repeated saturation at the beginning of the saturation period, and an adiabatic inversion pulse 500ms before imaging), collected at the BIDMC Radiology Department on a 3T HDxt MRI (General Electric Medical Systems) scanner using a standard 8-channel head coil (Cavallari et al., 2015 (link)).
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2

Pre-surgical Brain Imaging Protocol

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Approximately one-quarter (n = 146) of enrolled participants
elected to undergo Magnetic Resonance Imaging (MRI) prior to surgery. All
subjects received imaging on a 3T HDxt MRI (General Electric Healthcare,
Waukesha, WI) scanner using a standard eight-channel head coil. The MRI protocol
included: High Resolution three-dimensional (3D) anatomic imaging, High
Resolution 3D T2-weighted imaging, and Fluid Attenuated Inversion Recovery
(FLAIR).
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3

Anatomical MRI Brain Imaging Processing Workflow

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We analyzed the magnetization-prepared fast gradient-echo (MPRAGE) 3D anatomical T1-weighted images (TR: 7.9 ms, TE: 3.2 ms, 15° flip angle, 32 kHz bandwidth, 24 × 19 cm field of view, 0.94 mm in-coronal plane resolution, 1.4 mm slices, preparation time of 1100 ms with repeated saturation at the beginning of the saturation period, and an adiabatic inversion pulse 500 ms before imaging) collected at the BIDMC Radiology Department on a 3 T HDxt MRI (General Electric Medical Systems) scanner using an 8-channel head coil.28 (link) Each participant’s MPRAGE data underwent intensity normalization, skull stripping, and an automated segmentation of cerebral white matter to locate the grey–white boundary via FreeSurfer v6.0, which is documented and freely available online for download (http://surfer.nmr.mgh.harvard.edu). Defects in the surface topology were corrected,50 (link) and the grey/white boundary was deformed outward using an algorithm designed to obtain an explicit representation of the pial surface. Each participant’s cortical surface reconstruction in their native space was registered to a template surface space (fsaverage) for intersubject comparisons.
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