At both visits, images were obtained with a General Electric 3.0 T Signa (Milwaukee, WI, USA) MR scanner. An echo-planar DTI sequence was used to collect two non-diffusion weighted images and diffusion-weighted images in 25 directions (b-value = 1,000 s/mm2, 58 contiguous axial sections, 2.6 mm thickness, TE = 71 ms, TR = 13,000 ms, matrix = 96 × 96, FOV = 250 × 250 mm2, voxel size = 2.6 mm3). High resolution T1-weighted SPGR images were obtained with the following parameters: 0.7 mm thickness, TE = 2 ms, TR = 5.1 ms, flip angle = 15°, matrix = 256 × 256, FOV = 260 × 260 mm2. Participants with incidental MR findings, such as evidence of past stroke damage, were excluded from the study.
Signa 3.0 t
Manufactured by GE Healthcare
Sourced in United States
The Signa 3.0 T is a magnetic resonance imaging (MRI) system developed by GE Healthcare. It operates at a magnetic field strength of 3.0 Tesla, providing high-resolution imaging capabilities. The system is designed for use in clinical settings to support medical professionals in diagnostic and research applications.
Automatically generated - may contain errors
Lab products found in correlation
Aera 1.5t, by Siemens (1 mentions)
Syncbox, by Brain Products (1 mentions)
Centricity pacs radiology ra1000 workstation, by GE Healthcare (1 mentions)
Achieva 3.0t, by Philips (1 mentions)
Spectris mr injector, by Bayer (1 mentions)
Signa hdx 3.0t mri, by GE Healthcare (1 mentions)
Synamps2 amplifier, by Compumedics (1 mentions)
11 protocols using signa 3.0 t
1
Diffusion Tensor Imaging and Structural MRI
2
Retrospective MRI-based Alzheimer's Diagnosis
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We retrospectively collected 205 three-dimensional T1-weighted (3D-T1) sequence non-gadolinium contrast-enhanced MR images with an axial slice thickness of 1 mm from the First People’s Hospital of Hangzhou between January 2019 and June 2019. The data set was then randomly assigned to two cohorts: 140 cases were used to construct the AD tool and 35 cases were used to optimize its hyperparameters, and the remaining 30 cases were assigned to a testing cohort a. Considering that 3D-T1 MRI is not routinely used in clinical practice, we also collected external cases with non-3D-T1 MRI to test the performance of this AD tool. This includes 19 non-3D T1-weighted non-gadolinium contrast-enhanced MRIs with an axial slice thickness of 3 mm from Shanghai Chest Hospital between July 2019 and September 2019 (testing cohort b) and 11 non-3D T1-weighted gadolinium contrast-enhanced MRIs with an axial slice thickness of 1 mm from Hangzhou Cancer Hospital between July 2019 and September 2019 (testing cohort c). All the cases were > 18 years old, and the MRIs confirmed with normal hippocampus has not been violated by any disease. The MRI Machine Vendor in train cohort and testing cohort a is GE 3.0 T Signa. In testing cohort b and c is Siemens 1.5T Aera.
3
Multimodal MRI Protocol for Brain Imaging
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Structural and functional MRI data were obtained with a 3.0-T Signa (GE Healthcare) and 8 channel phased array coil. The parameter setting of T1-weighted sagittal brain volume imaging (BRAVO) with extended dynamic range (EDR) was following: voxel size = 1 × 1 × 1 mm; inversion time (TI) = 650 ms; flip angle (FA) = 80 degrees; in-plane matrix resolution = 256 × 256; field of view (FOV) = 256 mm. rs-fMRI images were acquired in ascending order on T2-weighted gradient echo planar imaging (EPI) using array coil spatial sensitivity encoding (ASSET) with following parameters: repetition time (TR) = 2.5 s; echo time (ET) = 30 ms, FA = 80 degrees; number of slices = 40; slice thickness/gap = 3.2/0.8 mm; in-plane resolution = 64 × 64; FOV = 212 mm; number of volumes = 240.
4
3D Visualization of the Fourth Ventricle
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MRI of the head was performed using a 3.0 T system (Signa 3.0 T, General Electric). Contrast- enhanced fast imaging with steady-state acquisition (CE-FIESTA) images were acquired using an 8-channel head coil. The main imaging parameters for CE-FIESTA were as follows: repetition time, 4.2 ms; echo time, 1.6 ms; slice thickness, 0.4 mm; field of view (FOV), 20 cm; matrix size, 512 × 512; and flip angle 45°. The 2D images obtained using CE-FIESTA were used for FC identification in this study.
Data were provided as image stacks coded in Digital Imaging and Communications in Medicine (DICOM) format. The 3D images were obtained using CE-FIESTA and by visualizing the floor of the fourth ventricle by surface rendering using the image processing software LIVRET (Kompath Inc., Tokyo, Japan) on a Windows personal computer. Image thresholding was used to establish a single threshold value at which the FC was most visible for standardized/unified segmentation. Thresholding operations utilized/Segmentation was obtained using the full width at half maximum (FWHM) of the brainstem and cerebrospinal fluid. All structures except the floor of the fourth ventricle were deleted. The author (TU), a neurosurgeon, created all the 3D images. The workflow for image processing is shown inSupplementary Fig. 1 (All supplementary figures and tables are available Online) .
Data were provided as image stacks coded in Digital Imaging and Communications in Medicine (DICOM) format. The 3D images were obtained using CE-FIESTA and by visualizing the floor of the fourth ventricle by surface rendering using the image processing software LIVRET (Kompath Inc., Tokyo, Japan) on a Windows personal computer. Image thresholding was used to establish a single threshold value at which the FC was most visible for standardized/unified segmentation. Thresholding operations utilized/Segmentation was obtained using the full width at half maximum (FWHM) of the brainstem and cerebrospinal fluid. All structures except the floor of the fourth ventricle were deleted. The author (TU), a neurosurgeon, created all the 3D images. The workflow for image processing is shown in
5
Simultaneous EEG and fMRI Acquisition Protocol
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Subjects performed the task inside the MRI scanner (GE Signa 3.0 T) with simultaneous EEG and MRI recordings. The sampling clocks of the EEG and MRI systems were synchronized by means of the Syncbox (BrainProducts).
EEG signals were collected using a 64-channel fMRI-compatible Neuroscan Maglink System with Ag/AgCl electrodes placed according to the international 10/20 electrode placement standard. Vertical and horizontal electrooculogram (EOG) were recorded with electrodes above and on the outer canthi of the left eye. The electrocardiograms (ECGs) were recorded with a pair of electrodes above and below the left sternum. EEG data were sampled at 1,000 Hz and the electrode impedances were kept under 10 KΩ throughout the experiment. The amplifier gain was 150 and the analogic bandpass filter was set at 0–200 Hz. The AFz electrode site served as the ground electrode and an electrode between Cz and Pz served as reference.
Functional MR images were acquired with a gradient echo planar imaging (EPI) sequence with the following scanning parameters: TR = 2,000 ms; TE = 30 ms; FA = 90°; FOV = 240 mm; matrix size = 64 × 64; voxel size = 3.75 × 3.75 × 4.4 mm3; 35 slices. The structural images were acquired with a high-resolution T1-weighted scan (voxel size = 1 × 1 × 1 mm3).
EEG signals were collected using a 64-channel fMRI-compatible Neuroscan Maglink System with Ag/AgCl electrodes placed according to the international 10/20 electrode placement standard. Vertical and horizontal electrooculogram (EOG) were recorded with electrodes above and on the outer canthi of the left eye. The electrocardiograms (ECGs) were recorded with a pair of electrodes above and below the left sternum. EEG data were sampled at 1,000 Hz and the electrode impedances were kept under 10 KΩ throughout the experiment. The amplifier gain was 150 and the analogic bandpass filter was set at 0–200 Hz. The AFz electrode site served as the ground electrode and an electrode between Cz and Pz served as reference.
Functional MR images were acquired with a gradient echo planar imaging (EPI) sequence with the following scanning parameters: TR = 2,000 ms; TE = 30 ms; FA = 90°; FOV = 240 mm; matrix size = 64 × 64; voxel size = 3.75 × 3.75 × 4.4 mm3; 35 slices. The structural images were acquired with a high-resolution T1-weighted scan (voxel size = 1 × 1 × 1 mm3).
6
Contrast-Enhanced MRI Imaging Protocol
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All patients were examined using the same scanner (GE SIGNA 3.0T). Contrast-enhanced T1-weighted imaging (CE-T1WI) was performed in the sagittal, coronal, and axial planes after the intravenous administration of 0.1 mmol/kg Gd-DTPA (field of view, 240 × 240 mm; matrix size, 512 × 512 mm; slice thickness, 5 mm; 90° flip angle; TR, 2250 mm; and TE, 24 ms). All images were digitally stored in a Picture Archiving and Communication Systems (Centricity PACS Radiology RA1000 Workstation, General Electric, Milwaukee, WI, USA) and could be remotely accessed.
7
3T MRI Protocol for Comprehensive Neurovascular Imaging
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All MRI examinations were performed on a 3.0 T MRI system (Signa 3.0T, General Electric, Milwaukee, WI, USA; Achieva 3.0T, Philips Medical Systems, Best, Netherlands). Diffusion-weighted images were obtained using the following parameters: TR/TE 9000/81.4 ms, matrix 128× 128, FOV 240×240 mm, slice thickness 4 mm, b = 1000 s/mm2. The voxel volumes were 14 mm3. Three-dimensional brain MRA was performed for arterial and venous phase imaging with following parameters: repetition time 4900 ms, echo time minimum, a 30×27 cm field of view, image matrix 256×192, flip angle 20°, and section thickness 14 mm. The dose of gadobutrol (Gadovist®; Schering, Berlin, Germany) was 0.2 mL/kg of body weight. The contrast agent injected with a power injector (Spectris MR Injector®; Medrad, Pennsylvania, USA) at a rate of 2 mL/sec. When the contrast was visually detected in the carotid artery by the technologist on axial plane during injection of the contrast, the coronal 3D gradient echo sequence was initiated; and image acquisition time 2–3 minutes. After acquisition of arterial phase of MRA, venous phase images were obtained. Major brain and neck artery atherosclerosis was assessed on MRA using picture archiving communication system technology (PACS; GE Medical Systems, Milwaukee, WI, USA).
8
Multiparametric MRI Protocol for Tumor Imaging
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All patients underwent a magnetic resonance examination on a Signa 3.0-T or Signa HDX 3.0-T MRI scanner (GE Medical Systems, Milwaukee, WI, USA). T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and contrast-enhanced T1-weighted imaging (CE-T1WI) were acquired. The MR protocol is outlined in Table 1 . Gadolinium contrast (Magnevist; Schering Diagnostics AG, Berlin, Germany) was intravenously administered at a rate of 2.5 ml/s during the contrast-enhanced MRI scan.
Parameters of the MRI sequences
| Scanner | Sequence | b value (s/mm2) | TR (ms) | TE (ms) | image resolution (mm) | Slice Thickness (mm) | Slice Gap (mm) |
|---|---|---|---|---|---|---|---|
| Signa 3.0-T | T2WI | – | 4200 | 102 | 0.75× 0.75 | 3 | 1 |
| CE-T1WI | – | 680 | 13 | 0.6× 0.6 | 4 | 0 | |
| DWI | 0,800 | 4000 | 68 | 2× 2 | 6 | 6 | |
| Signa HDX 3.0-T | T2WI | – | 3900 | 90 | 0.6× 0.6 | 3 | 0.5 |
| CE-T1WI | – | 573 | 20 | 0.55 × 0.55 | 3 | 0 | |
| DWI | 0,800 | 3800 | 80 | 1.5 × 1.5 | 5 | 5 |
T2WI T2-weighted imaging, CE-T1WI contrast-enhanced T1-weighted imaging, DWI diffusion-weighted imaging, TR relaxation time, TE echo time
9
Radiotherapy for Hepatocellular Carcinoma in Rats
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All the animal experiments were performed in compliance with protocol approved by the Animal Care and Use Committees guidelines in West China Hospital and Sichuan University (2016-028A). SD rats (150–200 g, 6–8 w) were sourced from Chengdu Dossy Experimental Animals Co., Ltd and used as experimental subject. The primary HCC models were established by 0.01% nitrosodiethylamine chemical induction through oral administration for 8–10 w. Tumor growth was monitored by MRI (Signa 3.0 T, GE Health, USA) according to our previous method [12 (link)]. Rats with no more than 3 intrahepatic nodules in all slices were selected for further study. TARE was performed through transarterial administration, and the rats were divided into four groups (n = 5 for each group): 177Lu-PDA-CS-MgO group (37 MBq), 177Lu-PDA-CS group (37 MBq), PDA-CS group and sham operation control group with injection of sterilized saline. Additionally, another group was injected with 37 MBq of 177Lu-Lipiodol as another control to evaluate the biodistribution of dissociative 177Lu under this administration (n = 3). The dose administration was calculated according to our previous study [12 (link)]. The absorbed dose can be calculated by the following equation:
10
MRI Analysis of Brain Lesions
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From January 1, 2007 to December 31, 2012, data were collected from the patients’ MRI registration system and MRI reports form the same 3.0 T MRI unit at Beijing Tiantan Hospital. During the study period, the following MRI machines used were: GE Signa 3.0 T, superconducting magnetic resonance imager. The contrast agent was Gadopentetate dimeglumine (Gd—DTPA). At a rate of 1 ml/sec via an 18-gauge peripheral intravenous catheter, Gd—DTPA was bolus-injected by an MR power injector. The dose was 0.2 mmol/kg. After 8 s of delay from the start of injection, the images were acquired.
For patients who underwent multiple MRI screenings over the study period, only the most recent screening results were included in this analysis. According to the standard procedures of Beijing Tiantan Hospital, all MRI images were analysed by two radiologists. The final diagnosis was approved by both radiologists. In rare cases when the radiologists’ diagnosis was inconclusive, the researcher examined the original MRI images and assigned a classification to the case.
For patients who underwent multiple MRI screenings over the study period, only the most recent screening results were included in this analysis. According to the standard procedures of Beijing Tiantan Hospital, all MRI images were analysed by two radiologists. The final diagnosis was approved by both radiologists. In rare cases when the radiologists’ diagnosis was inconclusive, the researcher examined the original MRI images and assigned a classification to the case.
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