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Signa excite 3.0 tesla

Manufactured by GE Healthcare

The Signa Excite 3.0 Tesla is a magnetic resonance imaging (MRI) system developed by GE Healthcare. It operates at a magnetic field strength of 3.0 Tesla, providing high-quality imaging capabilities. The core function of the Signa Excite 3.0 Tesla is to generate detailed images of the body's internal structures for diagnostic purposes.

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6 protocols using signa excite 3.0 tesla

1

Multimodal Brain Imaging Protocol

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At study entry participants underwent anatomical and DTI scans. Images were acquired on a General Electric (Waukesha, WI) Signa Excite 3.0 Tesla short bore scanner at Froedtert Memorial Lutheran Hospital (Milwaukee, WI). Foam padding was used to reduce head movement within the coil.
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2

Functional MRI with Distortion Correction

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Participants were scanned at the UCSD Keck Center for fMRI using a GE Signa EXCITE 3.0 Tesla whole-body imaging system. Anatomical scans utilized a T1-weighted fast spoiled gradient echo pulse sequence (TE=4ms, flip angle= 90°, 1mm3 resolution). The functional scans were sensitive to the T2*-weighted BOLD signal. 32 echoplanar 4mm axial slices covering the whole brain (TR=2000 ms, TE=30 ms, image matrix=64×64, 4mm × 4mm resolution) were acquired parallel to the intercommissural plane in an interleaved manner using a gradient echo pulse sequence. The number of repetitions acquired varied over the task, as described above. To correct for warping in the echo-planar images due to inhomogeneties in the magnetic field, scans with opposite phase encoding polarities resulting in opposite spatial distortion patterns were acquired. The resulting images were aligned using a fast nonlinear registration procedure (Holland et al., 2010 (link)).
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3

Hippocampal Subfield Volumetry in MCI Conversion

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High-resolution, three-dimensional spoiled gradient-recalled at steady-state (SPGR) anatomic images were acquired on a General Electric (Waukesha, WI) Signa Excite 3.0 Tesla short bore scanner equipped with a quad split quadrature transmit/receive head coil (TE = 3.9 ms; TR = 9.5 ms; inversion recovery (IR) preparation time = 450 ms; flip angle = 12°; number of excitations (NEX) = 1; slice thickness = 1.0 mm; FOV = 24 cm; resolution = 256×224). Whole brain and regional volumes were derived from T1-weighted SPGR images using Freesurfer v.6.0 software hippocampal subfields algorithm (Iglesias et al., 2015 (link)). Intracranial volume was corrected using the Freesurfer estimate of TIV (%TIV). Hippocampcal measures as defined by Freesurfer 6.0 subfield segmentation were selected a priori to assess differences in volumes between ε4+ MCI converters and ε4+ non-converters (bilateral whole hippocampus and subiculum).
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4

3T MRI brain morphometry protocol

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High-resolution, three-dimensional spoiled gradient-recalled at steady-state (SPGR) anatomic images were acquired on a General Electric (Waukesha, WI) Signa Excite 3.0 Tesla short bore scanner equipped with a quad split quadrature transmit/receive head coil (TE = 3.9 ms; TR = 9.5 ms; inversion recovery (IR) preparation time = 450 ms; flip angle = 12°; number of excitations (NEX) = 2; slice thickness = 1.0 mm; FOV = 24 cm; resolution = 256 × 224). A scanner upgrade took place near the end of the final retest period. Six ε4+ participants and one ε4- had their third scan conducted on a GE MR750 3.0 Tesla scanner (TE = 3.9 ms; TR = 9.6 ms; inversion recovery (IR) preparation time = 450 ms; flip angle = 12°; number of excitations (NEX)=1; slice thickness = 1.0 mm; FOV = 24 cm; resolution=256×224). A between-scanner comparison showed no systematic differences. Whole brain and regional volumes were derived from T1- weighted SPGR images using the longitudinal stream in Freesurfer v.5.1 software [23 (link)].
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5

3T MRI Brain Imaging Protocol

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DTI and high-resolution anatomical images were collected on a General Electric (Waukesha, WI) Signa Excite 3.0 Tesla short bore scanner at Froedtert Hospital (Milwaukee, WI). Foam padding was used to reduce head movement within the coil. High-resolution anatomical scans were obtained from a three-dimensional spoiled gradient-recalled at steady-state (SPGR) pulse sequence (TE = 3.9 ms; TR = 9.5 ms; inversion recovery (IR) preparation time = 450 ms; flip angle = 12 degrees; number of excitations (NEX) = 2; slice thickness = 1.0 mm; field of view (FOV) = 24 cm; resolution = 256 × 224; slices = 144).
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6

Functional MRI of Brain Anatomy

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Magnetic resonance images were collected in General Electric Signa Excite 3.0
Tesla short bore MR Scanner (GE Healthcare, Waukesha, WI). Functional MRI was used to
quantify the BOLD contrast (T2*-weighted imaging) overlaid on a T1-weighted anatomical
image for each subject. An 8-channel array radio frequency receive head coil (GE
Healthcare, Waukesha, WI) was used to obtain 36 sagittal plane slices (thickness = 4 mm)
across the entire brain volume using an echo-planar imaging sequence (64 × 64
matrix, 240 × 240 mm2 field of view, TE = 25 ms, TR = 2,000 ms, and
flip angle = 77°). Voxel size was 3.75 × 3.75 × 4 mm. Immediately
after completion of the protocol, 148 high-resolution spoiled GRASS (gradient recalled at
steady state) anatomical images (thickness = 1 mm) were collected (256 × 244
matrix, TE = 3.9 ms, TR = 9.5 ms, and flip angle = 12°).
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