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The system leverages AIR™ Recon DL, a deep-learning technology, to improve MR images by increasing the signal-to-noise ratio (SNR), resulting in clearer, pin-sharp images and reduced scan times. This allows for high-quality diagnostic imaging across various applications.
Patient comfort is enhanced through the use of lightweight, flexible AIR™ Coils that adapt to the patient’s body. The system also features AI-driven workflow solutions like AIR x™, which automates slice placement to ensure consistency and save time. These technologies work together to shorten the time patients spend inside the scanner.
SIGNA™ Victor is designed for sustainability and cost-effectiveness. It features a “green magnet” that uses 70% less helium and consumes over 10% less power compared to previous generations. A key feature is the SIGNA™ Victor Lift upgrade program, which allows legacy GE HealthCare 1.5T systems to be upgraded to the SIGNA™ Victor platform, extending the life of existing equipment and providing a cost-effective path to the latest technology.
A deep-learning-based reconstruction technology that improves image quality and sharpness by increasing SNR, enabling a reduction in scan times.
Lightweight, flexible coils designed for patient comfort and positioning freedom, which helps improve image quality and workflow efficiency.
An AI-based, automated workflow tool for brain and knee scans that assists technologists in slice placement, helping to ensure exam consistency and reduce manual steps.
| Magnet System | |
|---|---|
| Field Strenght : | 1.5T |
| Bore Size : | 60cm |
| Helium Consumption : | Zero Boil-Off Technology |
| Gradient System | |
| Peak Amplitude : | 35 mT/m |
| Peak Slew Rate : | 140 T/m/s |
| FOV (x, y, z) : | 50cm x 50cm x 50cm |
| Duty Cycle : | 100% |
| RF Technology | |
| Receive Channels : | Up to 64 Selectable Channels |
| Analogue to Digital Converters : | Up to 64 Selectable Channels |