Log In Sign up
The largest database of trusted experimental protocols

Discovery 690xt

Manufactured by GE Healthcare
Visit Supplier
Sourced in United States

The Discovery 690XT is a positron emission tomography (PET) imaging system designed and manufactured by GE Healthcare. It is a high-performance PET scanner that provides advanced imaging capabilities for a wide range of clinical applications.

Automatically generated - may contain errors

Lab products found in correlation

Discovery mi, by GE Healthcare (3 mentions) Discovery mr750, by GE Healthcare (3 mentions) Signa hdx, by GE Healthcare (3 mentions) Signa excite, by GE Healthcare (3 mentions) Signa hdxt, by GE Healthcare (3 mentions) Prisma, by Siemens (2 mentions) Discovery rx, by GE Healthcare (1 mentions)

5 protocols using discovery 690xt

1

Multi-modal neuroimaging protocol for tau PET analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
T1-weighted MRIs, which we used for atlas normalization, masking, and for PVC where applicable, were acquired using 3T General Electric (GE) scanners (models Discovery MR750, Signa HDx, Signa HDxt, and Signa Excite; GE Healthcare, Waukesha, WI) and 3T Siemens Prisma (Siemens, Erlangen, Germany) scanners each using 3D Sagittal Magnetization Prepared Rapid Acquisition Gradient-Recalled Echo (MP-RAGE) sequences.
[18F]AV-1451 tau PET scans were acquired using GE PET/CT scanners (models Discovery 690XT and Discovery MI; GE Healthcare, Waukesha, WI). Participants were injected with Flortaucipir (370 MBq (range 333–407 MBq)) and a low-dose CT scan was acquired for attenuation correction. At 80 minutes post-injection, participants underwent a 20-min dynamic PET scan with four five-minute frames. Dynamic PET images were reconstructed on-scanner (256 matrix, 300 mm field of view) using fully 3D (Iatrou et al., 2004 (link)) or Fourier-rebinned (Stearns and Fessler, 2002 (link)) OSEM iterative algorithms with 3 iterations and 35 subsets. A 5 mm Gaussian post-reconstruction filter was applied, along with standard corrections for attenuation, scatter, random coincidences, and decay. Four-frame dynamic PET images were co-registered with a group-wise rigid registration to correct for cross-frame motion, and averaged to produce a single static (summed) PET image.
Schwarz C.G., Therneau T.M., Weigand S.D., Gunter J.L., Lowe V.J., Przybelski S.A., Senjem M.L., Botha H., Vemuri P., Kantarci K., Boeve B.F., Whitwell J.L., Josephs K.A., Petersen R.C., Knopman D.S, & Jack CR J.r. (2021). Selecting software pipelines for change in flortaucipir SUVR: Balancing repeatability and group separation. NeuroImage, 238, 118259.
+ Open protocol
+ Expand
2

PET/CT Imaging Protocol for Tau Deposition

Cited 1 time
Check if the same lab product or an alternative is used in the 5 most similar protocols
The day prior to the imaging study, water consumption was encouraged to induce more rapid clearance of the radioisotope. Subjects were injected with 370 ± 37 MBq of 18F-AV-1451 intravenously. Imaging was delayed for 80–100 min following injection to allow for uptake of the radiotracer. PET/CT scans were then acquired on the GE Discovery RX or Discovery 690XT (General Electric Healthcare; Waukesha, WI, USA) cameras. CT images were reconstructed in a transaxial slice orientation with a slice thickness of 3.75 and interval of 3.27 or 1.96 mm depending on the scanner. Forty-seven or seventy-nine slices were obtained again dependent on the scanner and interval used. For CT imaging, kVp was 120 and mA was 35–40. On PET, four frames of 5 min each were obtained to correct for patient motion and were summed. A 3D OSEM iterative algorithm was used for reconstruction and a 5.0 mm post-filter was applied. Attenuation correction was measured using the CT obtained prior to PET. MRIs were performed at 3 T using an eight-channel phased array coil on all participants. MRI methods have been previously described [37 (link)].
Bruinsma T.J., Johnson D.R., Fang P., Senjem M., Josephs K.A., Whitwell J.L., Boeve B.F., Pandey M.K., Kantarci K., Jones D.T., Vemuri P., Murray M., Graff-Radford J., Schwarz C.G., Knopman D.S., Petersen R.C., Jack CR J.r, & Lowe V.J. (2017). Uptake of AV-1451 in meningiomas. Annals of nuclear medicine, 31(10), 736-743.
+ Open protocol
+ Expand
3

PiB PET/CT Imaging Protocol for Alzheimer's

Check if the same lab product or an alternative is used in the 5 most similar protocols
[11C] Pittsburgh Compound B (PiB) PET/CT studies were acquired using GE scanners (models Discovery 690XT and Discovery RX; GE Healthcare, Waukesha, WI). Subjects were injected with PiB (average 625 MBq, range 256–751 MBq) and a low dose CT scan was acquired. Beginning 40 minutes post-injection, subjects then underwent a 20-minute dynamic PET scan with four five-minute frames. Dynamic PET images were generated (256 matrix, 300 mm field of view, 1.17mm × 1.17mm × 3.27mm voxel size) using an iterative reconstruction algorithm. Standard corrections for attenuation, scatter, randoms and decay were applied as well as a 5 mm Gaussian post filter. The images from the four dynamic frames were averaged to create a single static image.
T1-weighted MRI scans (used for atlas normalization/masking, and for PVC where applicable) were acquired on 3T scanners (models Discovery MR750, Signa HDx, Signa HDxt, and Signa Excite) manufactured by General Electric (GE) using a 3D Sagittal Magnetization Prepared Rapid Acquisition Gradient-Recalled Echo (MP-RAGE) sequence. Repetition time (TR) was ≈ 7ms, echo time (TE) ≈ 3ms, and inversion time (TI) = 900ms. Voxel dimensions were ≈ 1.20mm × 1.015mm × 1.015mm.
Schwarz C.G., Senjem M.L., Gunter J.L., Tosakulwong N., Weigand S.D., Kemp B.J., Spychalla A.J., Vemuri P., Petersen R.C., Lowe V.J, & Jack CR J.r. (2016). Optimizing PiB-PET SUVR Change-Over-Time Measurement by a large-scale analysis of Longitudinal Reliability, Plausibility, Separability, and Correlation with MMSE. NeuroImage, 144(Pt A), 113-127.
+ Open protocol
+ Expand
4

Multi-modal neuroimaging protocol for tau PET analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
T1-weighted MRIs, which we used for atlas normalization, masking, and for PVC where applicable, were acquired using 3T General Electric (GE) scanners (models Discovery MR750, Signa HDx, Signa HDxt, and Signa Excite; GE Healthcare, Waukesha, WI) and 3T Siemens Prisma (Siemens, Erlangen, Germany) scanners each using 3D Sagittal Magnetization Prepared Rapid Acquisition Gradient-Recalled Echo (MP-RAGE) sequences.
[18F]AV-1451 tau PET scans were acquired using GE PET/CT scanners (models Discovery 690XT and Discovery MI; GE Healthcare, Waukesha, WI). Participants were injected with Flortaucipir (370 MBq (range 333–407 MBq)) and a low-dose CT scan was acquired for attenuation correction. At 80 minutes post-injection, participants underwent a 20-min dynamic PET scan with four five-minute frames. Dynamic PET images were reconstructed on-scanner (256 matrix, 300 mm field of view) using fully 3D (Iatrou et al., 2004 (link)) or Fourier-rebinned (Stearns and Fessler, 2002 (link)) OSEM iterative algorithms with 3 iterations and 35 subsets. A 5 mm Gaussian post-reconstruction filter was applied, along with standard corrections for attenuation, scatter, random coincidences, and decay. Four-frame dynamic PET images were co-registered with a group-wise rigid registration to correct for cross-frame motion, and averaged to produce a single static (summed) PET image.
Schwarz C.G., Therneau T.M., Weigand S.D., Gunter J.L., Lowe V.J., Przybelski S.A., Senjem M.L., Botha H., Vemuri P., Kantarci K., Boeve B.F., Whitwell J.L., Josephs K.A., Petersen R.C., Knopman D.S, & Jack CR J.r. (2021). Selecting software pipelines for change in flortaucipir SUVR: Balancing repeatability and group separation. NeuroImage, 238, 118259.
+ Open protocol
+ Expand
5

PET Imaging Protocol for Brain Analysis

Cited 1 time
Check if the same lab product or an alternative is used in the 5 most similar protocols
PET imaging was performed on a GE Discovery 690XT or a GE Discovery MI PET/CT system. 18F-DOPA was injected intravenously at a dose of 5 mCi ± 10%. A scout CT scan was acquired to aid in position the head within the field of view. The CT portion of the PET/CT scan, used for attenuation correction, was acquired with the following technique: 120 kVp, 35 mA, 1 second per rotation and a pitch of 0.984. The PET scan was then started 10 min after tracer injection. PET sinograms were reconstructed using a fully 3D iterative reconstruction algorithm with corrections for attenuation, scatter, randoms, deadtime, decay and normalization applied. The PET images were reconstructed into a 300 mm field of view with a pixel size of 1.17 mm and slice thickness of 1.96 mm and 279 mm for the Discovery 690XT and MI systems respectively [15 (link)]. The two scanners used in this study have matched spatial resolution, but Discovery MI has higher sensitivity. The PET images were then rigidly registered to and resampled to match the planning CT images with 1 mm slice thickness. The aligned PET images were used for feature extraction.
Qian J., Herman M.G., Brinkmann D.H., Laack N.N., Kemp B.J., Hunt C.H., Lowe V, & Pafundi D.H. (2020). Prediction of MGMT Status for Glioblastoma Patients Using Radiomics Feature Extraction from 18F-DOPA-PET Imaging. International journal of radiation oncology, biology, physics, 108(5), 1339-1346.
+ 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!