The largest database of trusted experimental protocols

Voiager software

Manufactured by GE Healthcare
Sourced in Sweden

Voiager software is a digital imaging platform developed by GE Healthcare. It provides tools for managing, analyzing, and sharing medical images and related data. The software is designed to integrate with various imaging modalities and support the workflow of healthcare professionals.

Automatically generated - may contain errors

2 protocols using voiager software

1

Motion-corrected Dynamic PET Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Dynamic PET images were corrected for motion using frame-by-frame realignment in Voiager software (GE Healthcare, Uppsala, Sweden). The T1-weighted MRI scans were co-registered to a summation image (0–5 min) of their corresponding PET volume and segmented into grey matter, white matter and CSF using SPM8 (Wellcome Trust Center for Neuroimaging, University College London, UK). VOIs were defined on the MRI images using a probabilistic atlas (PVElab)(Svarer et al., 2005 (link)) and projected onto the dynamic PET images to extract regional TACs. VOIs included in the analysis were: midbrain, hippocampus, amygdala, thalamus, putamen, sensory motor, occipital, entorhinal, frontal, temporal and parietal cortex Left and right side VOIs were averaged. In addition, a white matter VOI and a whole brain grey matter VOI were included, and a grey matter cerebellar VOI as reference region.
+ Open protocol
+ Expand
2

Radiosynthesis and PET Imaging of (S)-18F-THK5117

Check if the same lab product or an alternative is used in the 5 most similar protocols
The radiosynthesis of (S)-18 F-THK5117 is described in the supplemental material (available at http://jnm.snmjournals.org). All (S)-18 F-THK5117 PET scans were obtained on an ECAT Exact HR1 (Siemens) stand-alone PET scanner. After a 10-min transmission scan with rotating 68 Ge rod sources, (S)-18 F-THK5117 (3 MBq/kg) was administered as a fast bolus, simultaneously with the start of a 90-min dynamic PET acquisition (6 • 10, 3 • 20, 2 • 30, 2 • 60, 2 • 150, 4 • 300, and 6 • 600 s). Images were reconstructed using normalization-and attenuationweighted ordered-subset expectation maximization (6 iterations, 8 subsets) applying all appropriate corrections and a 4-mm Hanning postprocessing filter. In addition, all patients underwent a T1-weighted MRI scan, which was used for segmentation and volume-of-interest (VOI) definition. The AD patients and MCI patients underwent MRI scans on a Magnetom Symphony 1.5-T (Siemens; n 5 2 and 1, respectively), Magnetom Trio 3-T (Siemens; n 5 2 and 1, respectively), or Achieva 1.5-T (Philips; n 5 1 and 2, respectively) scanner. The dynamic PET data were realigned to correct for interframe patient movement using Voiager software (GE Healthcare).
+ 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!