Signa 3t

Manufactured by GE Healthcare

Sourced in United States

The Signa 3T is a magnetic resonance imaging (MRI) system manufactured by GE Healthcare. It operates at a field strength of 3 Tesla, providing high-resolution imaging capabilities for various medical applications. The Signa 3T is designed to deliver accurate and reliable diagnostic information to healthcare professionals.

Automatically generated - may contain errors

Lab products found in correlation

20 protocols using signa 3t

Cranial Nerve MRI Enhancement Protocol

Check if the same lab product or an alternative is used in the 5 most similar protocols

Within 1 month after diagnosis and treatment initiation, 57 subjects were scanned on a Siemens Skyra 3 T and 12 subjects on a General Electric Signa 3 T. Parameters for the whole brain 3D sagittal T1 weighted and fat saturated sequence are provided in Table 1. Images for this study were acquired 10 min after intravenous injection of 0.2 ml/kg of 0.5 mmol/ml gadoterate meglumine (Guerbet, France).Table 1

Magnetic resonance imaging parameters for whole brain 3D sagittal contrast enhanced T1 weighted and fat saturated sequence used to rate enhancement of cranial nerves III–XII

	Siemens Skyra 3 T (n = 57)	General Electric Signa 3 T (n = 12)
Description	T1_sag_space_FS_CE	SagCUBET1FatsatK +
Coil configuration	64 channel head	32 channel head
Slice thickness (mm)	0.93	1.0
FOV read (mm)	256	256
FOV phase	100%	100%
TR (ms)	500	650
TE (ms)	3.8	Minimum
Fat suppression	Fat sat	Fat sat
Band width (Hz/Px)	630	625
Turbo factor	40	30
Averages/NEX	1.0	1.0
Shim	B0 standard/B1 Trueform	Auto

Lindland E.S., Solheim A.M., Dareez M.N., Eikeland R., Ljøstad U., Mygland Å., Reiso H., Lorentzen Å.R., Harbo H.F, & Beyer M.K. (2022). Enhancement of cranial nerves in Lyme neuroborreliosis: incidence and correlation with clinical symptoms and prognosis. Neuroradiology, 64(12), 2323-2333.

+ Open protocol

+ Expand

3T MRI Head and Spinal Cord Imaging

Cited 2 times

Check if the same lab product or an alternative is used in the 5 most similar protocols

Participants underwent a consistent scan acquisition protocol on the same MRI platform (3 T Signa; General Electric, Milwaukee, Wisconsin, USA), using the same head or spinal coil. The head was imaged in all participants, and the cervical spinal cord was imaged in all except seven NCs, with the following pulse sequences 18 (link)–20 (link):

Bakshi R., Neema M., Tauhid S., Healy B.C., Glanz B.I., Kim G., Miller J., Berkowitz J.L., Bove R., Houtchens M.K., Severson C., Stankiewicz J.M., Stazzone L., Chitnis T., Guttmann C.R., Weiner H.L, & Ceccarelli A. (2014). An expanded composite scale of MRI-defined disease severity in multiple sclerosis: MRDSS2. Neuroreport, 25(14), 1156-1161.

+ Open protocol

+ Expand

Resting-state fMRI acquisition protocol

Check if the same lab product or an alternative is used in the 5 most similar protocols

MRI data will be collected using a 3-T Signa (GE) MR scanner equipped with an 8-channel phased-array head coil at Chang Gung Memorial Hospital, Kaohsiung, Taiwan. Each participant will be asked to remain still, keep their eyes closed, and think of nothing in particular. A foam pillow will be used to restrict head movement, and the earplugs will be provided to reduce noise interference. We will adopt previously validated MRI imaging protocols and acquire whole-brain functional images using echo-planar imaging (EPI) to measure blood oxygenation level dependent (BOLD) signal changes related to cognitive tasks. In addition, high-resolution T2 contrast images that are in alignment with the EPI images for later co-registration to 3D T1 high-resolution structural brain images will be acquired using the MPRAGE sequences. A T2-weighted gradient-echo image with BOLD contrast (TR, 3000 msec; TE, 50 msec; FA, 90°; voxel size, 3 × 3.5 × 3.5 mm³) will be used subsequently. Functional images will be obtained to measure BOLD signal changes related to the cognitive tasks by using an EPI sequence, with the following scan parameters: repetition time (TR) = 2000 ms, echo time (TE) = 30 ms, flip angle (FA) = 90°, slice thickness = 3.75 mm, field of view (FOV) = 192 × 192 mm², and voxel size = 3.0 × 3.0 × 3.75 mm³, with 243 brain volumes with 32 axial slices.³

Yeh T.T., Chang K.C., Wu C.Y., Lee Y.Y., Chen P.Y, & Hung J.W. (2018). Effects and mechanism of the HECT study (hybrid exercise-cognitive trainings) in mild ischemic stroke with cognitive decline: fMRI for brain plasticity, biomarker and behavioral analysis. Contemporary Clinical Trials Communications, 9, 164-171.

+ Open protocol

+ Expand

High-Resolution Structural and Functional MRI

Check if the same lab product or an alternative is used in the 5 most similar protocols

A GE 3T SIGNA (Waukesha, WI) MRI system with a quadrature birdcage head coil was utilized. High-resolution T1-weighted structural imaging utilized a spoiled gradient recalled sequence with repetition time (TR) = 7.25 ms, echo time (TE) = 3 ms, field of view (FOV) = 240 × 240 mm, flip angle (FA)= 7°, matrix = 256 × 256 mm, and 128 sagittal slices with a thickness of 1.33 mm. Functional scans utilized a T2*-weighted gradient-echo echo-planar image blood-oxygen-level-dependent sequence with TR/TE = 2,500/30 ms, FOV = 240 × 240 mm, FA = 90°, matrix = 64 × 64, and 29 oblique coronal slices with a thickness of 5 mm perpendicular to the AC-PC line with a 1 mm gap. Functional scans consisted of 6 task runs, each having 102 time points.

McLaren D.G., Sperling R.A, & Atria A. (2014). Flexible modulation of network connectivity related to cognition in Alzheimer’s disease. NeuroImage, 100, 544-557.

+ Open protocol

+ Expand

Brain Imaging of Eating Disorder Patients

Check if the same lab product or an alternative is used in the 5 most similar protocols

Between 7:00 am and 9:00 am on the study day, participants with eating disorders ate their meal-plan breakfast and HC ate a quality-matched and calorie-matched breakfast (Table 1). Brain imaging was performed between 8:00 am and 9:00 am using the 3-T Signa (General Electric Company) or Skyra 3-T scanner (Siemens) (eMethods 1 in the Supplement). A scanner covariate was included in the multivariate analysis of covariance model for imaging group contrasts.

Frank G.K., Shott M.E., Stoddard J., Swindle S, & Pryor T.L. (2021). Association of Brain Reward Response With Body Mass Index and Ventral Striatal-Hypothalamic Circuitry Among Young Women With Eating Disorders. JAMA Psychiatry, 78(10), 1-12.

+ Open protocol

+ Expand

Resting-State fMRI Acquisition and Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols

All resting-state data required subjects to have their eyes open while in one of two General Electric (Boston, MA, USA) human MRI systems (3T Signa and MR750) with an eight-channel head coil and the same acquisition parameters. MRI scanner system was modeled as a covariate in a separate group-ALFF analysis. Ear plugs and noise-cancelling headphones were used to help reduce the noise from the scanner. The number of subjects scanned by each scanner is shown in Table 1.
Whole-brain rs-fMRI data were acquired with a T2*weighted gradient echo-planar pulse sequence [2D axial; echo time (TE) = 30 ms; repetition time (TR) = 2200 ms; flip angle = 90°; field of view (FOV) = 240 mm; in-plane resolution = 3.75 mm; matrix = 64 × 64; slice thickness = 5 mm; skip = 0 mm; 36 slices]. A dual-echo fast spin-echo scan was obtained for spatial registration using the following parameters: 2D axial; TE = 17 / 102 ms; TR = 5000 ms; flip angle = 90°; FOV = 240 mm; matrix = 256 × 256; slice thickness = 5 mm; skip = 0 mm; 36 slices. To correct for spatial distortions in the echoplanar images, we acquired a field map with a gradientrecalled echo sequence pair (TE = 3/5 ms; TR = 460 ms, slice thickness = 5 mm; skip = 0 mm; 36 slices).

Hong J.Y., Müller-Oehring E.M., Pfefferbaum A., Sullivan E.V., Kwon D, & Schulte T. (2017). Aberrant blood-oxygen-level-dependent signal oscillations across frequency bands characterize the alcoholic brain. Addiction biology, 23(2), 824-835.

+ Open protocol

+ Expand

Multimodal MRI Protocol for MS Evaluation

Cited 1 time

Check if the same lab product or an alternative is used in the 5 most similar protocols

All subjects underwent MRI on the same scanner (3T Signa; General Electric, Milwaukee, WI, USA) using a consistent acquisition protocol. Brain and cervical spinal cord MRI was performed with the following relevant parameters: brain: coronal 3D modified driven equilibrium Fourier transform (MDEFT) covering the whole head: TR = 7.9 ms, TE = 3.14 ms, flip angle = 15°, slice thickness = 1.6 mm, pixel size = 0.938 × 0.938 mm; axial T2-weighted fast fluid-attenuated inversion-recovery (FLAIR): TR = 9000 ms, TE = 151 ms, TI = 2250 ms, slice thickness = 2 mm, pixel size = 0.976 × 0.976 mm; spinal cord: axial T2-weighted fast spin-echo images of the entire spinal cord: TR = 6117 ms, TE = 110 ms, slice thickness = 3 mm (no inter-slice gaps), pixel size = 0.937 × 0.937 mm. The FLAIR sequence was chosen for the depiction of CLs, based on the effectiveness shown in our previous study (27 (link)). We also paired the FLAIR with a high-resolution T1-weighted sequence per our previous strategy to assure accuracy of the identification of CLs and limit false positives (27 (link)). The MDEFT was chosen as the T1-weighted sequence, given its effectiveness in gray vs. white structural tissue definition (38 (link)) and its high sensitivity to MS lesions, based on our previous work (38 (link)).

Yousuf F., Kim G., Tauhid S., Glanz B.I., Chu R., Tummala S., Healy B.C, & Bakshi R. (2016). The Contribution of Cortical Lesions to a Composite MRI Scale of Disease Severity in Multiple Sclerosis. Frontiers in Neurology, 7, 99.

+ Open protocol

+ Expand

Biparametric MRI Screening for Prostate Cancer

Check if the same lab product or an alternative is used in the 5 most similar protocols

Men with elevated risk of prostate cancer as deemed by blood analyses were referred for biparametric MRI using a 1.5T Magnetom (Siemens Healthcare) or 3T Signa (GE Healthcare) scanner without an endorectal coil. T2-weighted and diffusion-weighted images were acquired by use of a short (<10-minute) protocol. Areas suggestive of prostate cancer were graded according to a modification of the Prostate Imaging–Reporting and Data System (PI-RADS), version 2.1.^{11 (link)} The MRI protocol and reading procedures were essentially identical between the first and second screening rounds.
Transrectal or transperineal MRI-ultrasound fusion equipment (BK Fusion; BK Medical) was used to sample 3 to 4 biopsy cores from each suspicious lesion. A 10- to 12-core systematic biopsy was also performed in patients undergoing MRI-targeted biopsy in the same session by the same urologist. The Gleason score, International Society of Urological Pathology (ISUP) grade, percentage with Gleason grade 4 in cancerous tissue, and size (in millimeters) of cancer findings were reported for each biopsy according to ISUP guidelines.^{12 (link)}

Nordström T., Annerstedt M., Glaessgen A., Carlsson S., Clements M., Abbadi A., Grönberg H., Jäderling F., Eklund M, & Discacciati A. (2024). Repeated Prostate Cancer Screening Using Prostate-Specific Antigen Testing and Magnetic Resonance Imaging: A Secondary Analysis of the STHLM3-MRI Randomized Clinical Trial. JAMA Network Open, 7(2), e2354577.

+ Open protocol

+ Expand

3T fMRI Brain Imaging Protocol

Check if the same lab product or an alternative is used in the 5 most similar protocols

All imaging was performed using a 3.0-T MRI scanner (GE 3T Signa) equipped with EPI capability. Eighteen axial slices (5.3 mm thick, interleaved) were prescribed to cover the whole brain. A T2∗ weighted gradient echo EPI was used. The imaging parameters were TR = 2000 ms, TE = 30 ms, FA = 70 degrees, FOV = 20 × 20 cm (64 × 64 mesh). To reduce susceptibility noise artifacts (especially the EPI distortion) in the lower parts of the brain, including the anteromedial temporal lobes, we used a wider bandwidth (130 kHz) and moved participants' chins such as to face down. To reduce head movement, participants were asked to put on a neck brace and were requested not to talk or move during scanning. Motion correction was also performed by a standard realignment process in SPM software (Wellcome Department of Cognitive Neurology, Institute of Neurology, London, UK).

Zhang Z., Niki K, & Luo J. (2020). The Function of the Hippocampus in Bridging Functional and Temporal Discontiguity. Neural Plasticity, 2020, 1049721.

+ Open protocol

+ Expand

Comprehensive Multimodal Brain Imaging Protocol

Check if the same lab product or an alternative is used in the 5 most similar protocols

The MRI protocol (3-T Signa; GE Medical Systems, Menlo Park, CA) included diffusion-weighted imaging (TR/TE 6000/7 ms, b=1000 s/mm 2 isotropic, 5-mm section thickness, and 1.5-mm interval), fluid attenuation inversion recovery, ASL-perfusion-weighted image (PWI) sequences, and magnetic resonance angiography (3D time of flight, TR/TE 30/2 ms, 1.5 mm section thickness, and 0 mm interval). ASL images were obtained with a pseudocontinuous ASL pulse sequence with the following parameters: TR/label time/postlabel delay/TE 5500/1500/1525/2.5 ms, 3D background-suppressed fast-spin echo stack-of-spirals readout, 4-mm in-plane and 6-mm through-plane resolution, and 4-minute acquisition time. Vessel suppression was not performed. Digital subtraction angiography (DSA) was performed using a dedicated biplane cerebral angiographic system (DIGITEX Safire HC; Shimadzu Corporation, Japan). Images of the bilateral internal and external carotid arteries and dominant vertebral artery injection were acquired and stored before endovascular therapy. Imaging through the entire arterial and venous phases was performed to carefully evaluate collateral vessels.

Niibo T., Ohta H., Miyata S., Ikushima I., Yonenaga K, & Takeshima H. (2017). Prediction of Blood-Brain Barrier Disruption and Intracerebral Hemorrhagic Infarction Using Arterial Spin-Labeling Magnetic Resonance Imaging. Stroke, 48(1).

+ 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?

Revolutionizing how scientists
search and build protocols!