GE HealthCare unveils SIGNA Bolt, SIGNA Sprint with Freelium, and SIGNA One at RSNA
GE HealthCare introduced two pending MR systems - SIGNA Bolt (3T) and SIGNA Sprint with Freelium (1.5T) - plus a new AI MR workflow platform, SIGNA One, at the RSNA meeting in Chicago. All three are currently under FDA review.
The focus is clear: move more patients through MRI with consistency, reduce operational friction, and cut resource demands - without trading off image quality. That matters as imaging volumes keep outpacing available radiologists and technologists.
SIGNA Bolt (3T wide bore): speed, consistency, and energy-conscious design
- High-performance gradient system paired with a digital RF platform for clinical and research needs.
- Built to lower operational energy demands while supporting advanced imaging.
- AI tools for faster exams and automated workflow steps.
- Integrated planning-to-reporting tools for neurology and oncology care pathways.
For departments under pressure to increase throughput, Bolt's combination of gradients, digital RF, and automation is aimed at tighter scan times and fewer manual steps. The neurology and oncology workflow integration helps standardize from planning through reporting.
SIGNA Sprint with Freelium (1.5T): helium-light, ventless, and install-friendly
- Sealed, helium-light magnet that uses under 1% of the helium in conventional MR systems.
- Ventless design for more flexible siting - including nontraditional or remote locations.
- Deep learning applications (AIR Recon DL, Sonic DL) to support image quality and speed.
- Two layers of operational automation: scanning autonomy and autoramping to reduce oversight and downtime.
For facilities expanding access or adding satellite sites, Sprint's helium-light, ventless setup can simplify planning and cut building costs associated with quench pipes. Automation features target fewer manual interventions and steadier uptime.
SIGNA One: AI MR workflow from setup to scan
- Simplified interface with real-time guidance for patient setup, positioning, and scanning.
- Contactless physiological monitoring to reduce cabling and speed room turnover.
- Deep learning-based reconstruction and tools accelerated by NVIDIA GPUs.
By consolidating guidance, automation, and reconstruction into one platform, SIGNA One aims to reduce variability across operators and shifts. The goal: predictable exam times, fewer repeats, and more consistent studies for interpretation.
Why this matters for healthcare leaders
- Throughput pressure: Imaging demand is rising faster than staffing; automation helps cover the gap.
- Consistency: Standardized workflows improve scan quality and reading reliability across sites.
- Sustainability: Helium-light and energy-conscious designs support environmental and cost goals.
- Access: Ventless installation opens options for outpatient, rural, and mobile settings.
"The urgency for greater access, efficiency and precision in MRI has never been greater," said Kelly Londy, president and CEO of MR at GE HealthCare. "With the introduction of our advanced SIGNA lineup, we're delivering on a bold vision for MRI."
Regulatory status
SIGNA Bolt, SIGNA Sprint with Freelium, and SIGNA One are under FDA review and were showcased at the RSNA annual meeting in Chicago. For event context, visit the RSNA site.
Technical acceleration for SIGNA One is supported by NVIDIA GPUs. See NVIDIA's healthcare overview here.
Practical next steps for your MRI service line
- Map current bottlenecks (setup, positioning, coils, rescans) and quantify potential time savings with workflow automation.
- Assess siting constraints; a ventless 1.5T can simplify upgrades and rural/ambulatory expansion.
- Standardize protocols with embedded AI tools and define QA metrics to track consistency across scanners and sites.
- Plan for GPU resources and data governance to support AI reconstruction and monitoring at scale.
- Pilot on a high-volume pathway (e.g., neuro or oncology) to prove out throughput and quality gains before wider rollout.
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