The largest database of trusted experimental protocols

Discovery mr750 3.0 tesla

Manufactured by GE Healthcare
Sourced in United States

The Discovery MR750 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, which is a common field strength used in advanced medical imaging. The core function of the Discovery MR750 3.0 Tesla is to generate high-quality, detailed images of the human body for diagnostic and clinical purposes.

Automatically generated - may contain errors

8 protocols using discovery mr750 3.0 tesla

1

Standardized MRI Acquisition Protocol

Check if the same lab product or an alternative is used in the 5 most similar protocols
The MR images of all subjects were collected on two same‐type scanners (Discovery MR750 3.0 Tesla, General Electric, Milwaukee, WI, USA) using the same parameters at both participating medical centers. Before MRI examinations, subjects were required to rest for 30 min. All subjects were instructed to close their eyes and remain motionless during the scan. For each subject, resting‐state fMRI data were obtained using a gradient‐echo single‐shot echo‐planar imaging sequence with the following parameters: repetition time (TR) /echo time (TE) = 2000 ms/30 ms, flip angle = 90°, field‐of‐view (FOV) = 220 mm × 220 mm, matrix = 64 × 64, slice thickness = 4.0 mm, gap = 0.5 mm, slices = 32, and volumes = 180, and the total time = 360 seconds. Sagittal three‐dimensional T1‐weighted images (3D‐T1WI) were acquired by a brain volume sequence with the following parameters: TR/TE = 8.2 ms /3.2 ms, flip angle = 12°, FOV = 256 mm × 256 mm, matrix = 256 × 256, slice thickness = 1.0 mm, no gap, slices = 188, and voxel size = 1 mm × 1 mm × 1 mm, and the total time = 259 s. T2 FLAIR images were acquired with the following parameters: TR/TE = 8400 ms/155 ms, thickness = 5.0 mm, FOV = 240 mm × 240 mm; and slices = 21.
+ Open protocol
+ Expand
2

Hepatic Fat Fraction Measurement via MRI

Check if the same lab product or an alternative is used in the 5 most similar protocols
For the measurement of intrahepatic fat content, we acquired MRI of the liver and measured HFF using a modified Dixon method with previously reported methodology (IDEAL‐IQ; GE Healthcare, Waukesha, WI, USA)11, 12 at the start of canagliflozin administration, and 6 and 12 months thereafter.
IDEAL‐IQ images representing HFF were acquired during a single breath hold using a Discovery MR750w Expert 3.0 Tesla or a Discovery MR750 3.0 Tesla (GE Healthcare). Imaging parameters on the MR750w scanner were as follows: repetition time/first echo time/Δecho time: 8.3/1.0/0.9 ms; number of echoes, six; flip angle, 4°; matrix, 160 × 160; slice thickness, 6 mm; bandwidth, ±111.11 kHz; field of vision, 36–50 cm; and acquisition time, 22 s. When using the MR750 scanner, after modification was applied: repetition time/first echo time/Δecho time, 6.3/1.0/0.8 ms; flip angle, 3°; and acquisition time, 19 s, based on the manufacturer's recommendation.
Image analysis was carried out by two authors (MI, AH) blinded to the clinical records to determine quantitative estimates of HFF under the presence of a third‐party doctor who was not involved in this study. As the region of interest, the whole liver was manually demarcated on the slice where the liver area was largest, avoiding major bile ducts and vascular structures.
+ Open protocol
+ Expand
3

Resting-state fMRI and Structural MRI Acquisition

Check if the same lab product or an alternative is used in the 5 most similar protocols
All images of subjects were collected on two same-type scanners (Discovery MR750 3.0 Tesla, General Electric, Milwaukee, WI, USA) using the same parameters at both medical centers. All participants completed a 6-minute resting-state scan, during which they were asked to lie quietly in the scanner with their eyes closed. For each subject, resting-state fMRI data were obtained using a gradient echo single-shot echo-planar imaging sequence with the following parameters: repetition time (TR) / echo time (TE) = 2000 ms / 30 ms, thickness = 3.0 mm, gap = 1.0 mm, field of view (FOV) = 240 mm × 240 mm, matrix = 64 × 64, slices = 38, and volumes = 180. Sagittal three-dimensional T1-weighted images (3D-T1WI) were acquired by a brain volume (BRAVO) sequence with the following parameters: TR/TE = 8.1 ms / 3.1 ms, thickness = 1.0 mm, no gap, FOV = 256 mm × 256 mm, matrix = 256 × 256, slices = 176, and voxel size = 1 mm × 1 mm × 1 mm. T2 FLAIR images were acquired with the following parameters: TR/TE = 8400 ms / 155 ms, thickness = 5.0 mm, FOV = 240 mm × 240 mm, and slices = 21.
+ Open protocol
+ Expand
4

Resting-State fMRI with Detailed Acquisition Parameters

Check if the same lab product or an alternative is used in the 5 most similar protocols
Resting state fMRI data was acquired using a GE Discovery MR750 3.0 Tesla scanner with a standard adult-sized coil (Milwaukee, WI). During the resting state scan, participants laid in the scanner for 8 minutes with their eyes open and fixated on a cross hair ‘+’ displayed on a presentation screen. Eye activity was monitored with an eye tracker by a research staff to make sure participants kept eyes open. Functional T2*-weighted BOLD images were acquired using a multiband EPI sequence (MB factor=6) of 60 contiguous axial 2.4 x 2.4 x 2.4 mm slices (TR = 800ms, TE = 30ms, flip angle = 52°, FOV = 21.6 cm, 90x90 matrix). For preprocessing, a high resolution T1-weighted anatomical (SPGR PROMO) was also acquired (TR = 7.0s, TE = 2.9s, flip angle = 8°, Field of View (FOV) = 25.6 cm, slice thickness = 1 x 1 x 1mm, 208 sagittal slices; matrix = 256 x 256). Slices in the functional and structural sequences were prescribed in the same locations.
+ Open protocol
+ Expand
5

Comprehensive Brain Imaging Protocol

Check if the same lab product or an alternative is used in the 5 most similar protocols
Functional and structural images were acquired using a General Electric 3.0 Tesla Discovery MR750 MR scanner (GE Healthcare, Waukesha, WI, USA) with a 32-channel birdcage head coil (healthy volunteers) and 8-channel head coil (patients) and high-order shim. Functional images were acquired using a T2*-weighted BOLD sequence (repetition time/echo time = 2000/30 msec, matrix size = 64 × 64, field-of-view = 24 × 24 cm, slice thickness = 4 mm with no intersection gap, voxel size = 3.75 × 3.75 × 4 mm). This imaging protocol allowed adequate coverage of the entire brain. A high-resolution 3D spoiled gradient echo T1-weighted sequence was acquired for anatomic reference (repetition time/echo time = 6 msec/2 msec, matrix size = 256 × 256, field-of-view = 24 × 24 cm, slice thickness = 1.2 mm, with no intersection gap, voxel size = 0. 94 × 0.94 × 1.2 mm).
+ Open protocol
+ Expand
6

Diffusion Tensor Imaging of the Brain

Check if the same lab product or an alternative is used in the 5 most similar protocols
Participants were imaged on a General Electric 3.0 Tesla Discovery MR750 (Waukesha, WI) MRI system with an 8-channel head coil and parallel imaging (ASSET). DTI was acquired using a diffusion-weighted, spin-echo, single-shot, echo planar imaging (EPI) pulse sequence in 40 encoding directions at b = 1300 s/mm^2, with eight non-diffusion weighted (b = 0) reference images. The cerebrum was covered using contiguous 2.5 mm thick axial slices, FOV = 24 cm, TR = 8000 ms, TE = 67.8 ms, matrix = 96 × 96, resulting in isotropic 2.5 mm3 voxels. High order shimming was performed prior to the DTI acquisition to optimize the homogeneity of the magnetic field across the brain and to minimize EPI distortions.
+ Open protocol
+ Expand
7

3T DTI Acquisition and Preprocessing

Check if the same lab product or an alternative is used in the 5 most similar protocols
Participants were imaged on two identical General Electric 3.0 Tesla Discovery MR750 (Waukesha, WI) MRI systems fitted with an 8-channel head coil and using parallel imaging (ASSET). All participants in the W-ADRC dataset were imaged on one scanner, while all WRAP participants were imaged on a second, identical scanner. For both cohorts, Diffusion Tensor Imaging (DTI) was acquired using a diffusion-weighted, spin-echo, single-shot, echo planar imaging (EPI) pulse sequence in 40 encoding directions at b = 1300 s/mm2, with eight non-diffusion weighted (b = 0) reference images. The cerebrum was covered using contiguous 2.5 mm thick axial slices, FOV = 24 cm, TR = 8000 ms, TE = 67.8 ms, matrix = 96 × 96, resulting in isotropic 2.5 mm3 voxels. High order shimming was performed prior to the DTI acquisition to optimize the homogeneity of the magnetic field across the brain and to minimize EPI distortions. We employed a robust processing pipeline, based on methods in (Adluru et al., 2014 (link)). The eddy current correction, field map correction and brain mask segmentation were performed using tools from FSL, and the tensors were estimated using non-linear least squares method.
+ Open protocol
+ Expand
8

Functional and Structural Brain Imaging Protocol

Check if the same lab product or an alternative is used in the 5 most similar protocols
Functional and structural images were acquired using a General Electric 3.0 Tesla Discovery MR750 MR scanner (GE Healthcare, Waukesha, WI, USA) with a 32-channel birdcage head coil and high order shim. Each participant was presented with the language tasks on a backlit projection screen. Functional images were acquired using a T2*-weighted BOLD sequence (repetition time (TR) = 2000 msec, echo time (TE) = 30 msec, matrix size = 64 × 64, field-of-view (FOV) = 24 × 24 cm, slice thickness = 4 mm with no intersection gap). This slice prescription allowed full coverage of the brain. A high-resolution 3D Spoiled Gradient Echo (SPGR) T1-weighted (T1WI) image was acquired for anatomic reference (TR/TE = 6 msec/2 msec, matrix size = 256 × 256, FOV = 24 × 24 cm, slice thickness = 1.2 mm with no intersection gap).
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!