SIGNA Prime

by GE Healthcare (Tianjin) Company Limited — Easy to learn. Powerful to use.
Radiology
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Regulatory Status Disclosed

Overview

SIGNA™ Prime is a 1.5T MRI scanner manufactured by GE HealthCare, designed for medical imaging. It is specifically developed for first-time or less experienced MR users, aiming to simplify the adoption process of MRI technology. The system delivers consistent high-quality images through cutting-edge imaging technology and an intuitive user experience, including the SIGNA™ One imaging platform. A key feature is its integration of artificial intelligence (AI) through AIR™ Recon DL, a deep-learning-based image reconstruction algorithm. This AI technology enhances image quality by reducing noise and ringing, improving signal-to-noise ratio (SNR) and sharpness, and enabling significantly shorter scan times across all anatomies. It is important to note that SIGNA™ Prime is a medical imaging device and not an AI tool for a physician directory.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • 1.5T MRI scanner
  • AI-powered AIRu2122 Recon DL for deep learning image reconstruction
  • Intuitive user experience and guided workflow (SIGNAu2122 One imaging platform)
  • Total Digital Imaging (TDI) 2.0 technology
  • Small footprint for easier siting and installation
  • Reduced power consumption (25% lower) and helium consumption (up to 70% less)
  • Remote support available
  • AIRu2122 Coils for patient comfort and faster setup (available with SIGNAu2122 Prime Elite)
  • AI-enabled workflow tools like AIR Touchu2122 and AIR xu2122 for automated coil selection and slice prescription (available with SIGNAu2122 Prime Elite)

Use Cases

  • Diagnostic imaging across all anatomies
  • Early and precise diagnosis of various diseases
  • Neurological imaging
  • Musculoskeletal imaging
  • Abdominal imaging
  • Simultaneous brain-heart MRI scans (area of R&D focus)

What Physicians Need to Know

DICOM Support & Standards
SIGNAu2122 Prime is designed to conform to NEMA DICOM standards (Digital Imaging and Communications in Medicine). GE HealthCare provides DICOM Conformance Statements for SIGNAu2122 Prime (ST28.0 and ST28.3, SIGNA_CX1). It supports various DICOM network services including MR Image Storage, CT Image Storage (as SCU), Secondary Capture Image Storage, Query/Retrieve (Study Root FIND/MOVE), and Media Storage Application Profiles (CD-R, DVD, USB).
PACS Integration Method
The system supports Integrating the Healthcare Enterprise (IHE) Integration Profiles, specifically Scheduled Workflow (SWF) and Access to Radiology Information (ARI). It functions as an Acquisition Modality for SWF, supporting patient-based worklist query, broad worklist query, assisted acquisition protocol setting, and Modality Performed Procedure Step (PPS) Exception Management. GE HealthCare's Advanced Visualization (AW) Server also offers PACS integration, allowing direct launch of AW applications from RIS/PACS and automatic pushing of completed AW exams to PACS.
Reading Room Workflow Impact
AI features, primarily AIRu2122 Recon DL, enhance image quality (SNR, sharpness) and enable shorter scan times, leading to higher consistency and quality in images for radiologists. This can increase patient throughput and reduce backlogs. The SIGNAu2122 One imaging platform, available on SIGNAu2122 Prime, provides an intuitive user experience with guided workflows, step-by-step instructions, and simple protocol selection, aiming to reduce the learning curve for technologists and streamline exams. Automated workflow technologies like AIRu2122 x and AIRu2122 Touch simplify scan setup and guide technologists, reducing operator bias and saving preparation time. Technologists can monitor and scan the current patient while the system processes previous patient's images.
AI Model Architecture (deep learning approach)
The core AI feature is AIRu2122 Recon DL, a deep learning-based image reconstruction algorithm. It is a convolutional neural network embedded directly in the reconstruction pipeline, not a post-processing filter. AIRu2122 Recon DL leverages raw data to remove image noise and ringing artifacts before final image formation, improving Signal-to-Noise Ratio (SNR) and image sharpness. The neural network for AIRu2122 Recon DL is trained on over 10,000 images using GE's Edison AI Platform, employing a cascade of over 100,000 unique pattern recognitions. Other AI-powered tools include AIRu2122 x (uses deep learning to demarcate anatomy and automatically prescribe MRI slices) and AIRu2122 Touch (automatically identifies optimal coil settings).
Processing Speed (per study)
AIRu2122 Recon DL enables significantly shorter scan times while maintaining or improving image quality. It can reduce table time by up to 37% compared to non-deep learning GE HealthCare MRI systems (specifically SIGNAu2122 Prime Elite with AIRu2122 Recon DL). Examples of reduced scan times include Neuro (6:06 min), Lumbar Spine (5:46 min), and Knee (4:49 min) with AIRu2122 Recon DL.
FDA Clearance Pathway (510k/De Novo)
SIGNAu2122 Prime (the 1.5T system) received 510(k) clearance from the U.S. FDA. The newer SIGNAu2122 Prime Elite also received 510(k) clearance. Additionally, GE HealthCare announced 510(k) clearance for SIGNAu2122 One, an AI-driven ecosystem of workflow solutions that is available on SIGNAu2122 Prime.
Supported Modalities
SIGNAu2122 Prime is a 1.5T Magnetic Resonance Imaging (MRI) scanner, designed as a whole-body magnetic resonance scanner. The integrated AI features, such as AIRu2122 Recon DL, are specifically developed for MRI.
Sensitivity & Specificity Data
While specific numerical sensitivity and specificity data for the AI tools on SIGNAu2122 Prime are not explicitly provided, the system's AI features, particularly AIRu2122 Recon DL, are highlighted for improving image quality, SNR, and sharpness by removing noise and ringing artifacts. This enhancement in image quality is intended to lead to higher consistency and quality in images for radiologists, thereby supporting more confident diagnoses.
RSNA/ACR Validation
GE HealthCare frequently showcases its innovations, including the SIGNAu2122 Experience platform (which incorporates SIGNAu2122 One and AIRu2122 Recon DL, available on SIGNAu2122 Prime), at the Radiological Society of North America (RSNA) annual meeting. No explicit mention of ACR validation was found in the provided information.
Physician Tip

Leverage AIRu2122 Recon DL to optimize MRI protocols, allowing for shorter scan times without compromising diagnostic image quality, which can significantly improve patient comfort and throughput. Utilize the intuitive SIGNAu2122 One user interface and AI-powered workflow tools like AIRu2122 x and AIRu2122 Touch to streamline exam setup and execution, reducing variability and enhancing consistency across studies. The improved image clarity and SNR provided by deep learning reconstruction can aid in more confident diagnoses, especially in challenging cases. Consider the system's ability to integrate seamlessly with existing PACS for efficient image review and advanced visualization. The reduced table time can be particularly beneficial for claustrophobic or less cooperative patients.

SIGNAu2122 Prime offers robust DICOM 3.0 compliance and supports key IHE profiles (SWF, ARI) for seamless integration into existing radiology workflows and PACS environments. This ensures interoperability for image storage, query/retrieve functions, and worklist management. The integration with GE HealthCare's Advanced Visualization (AW) Server further enhances capabilities by allowing direct access to advanced post-processing tools from the PACS workstation, pushing completed analyses back to the archive. Facilities should ensure their PACS and RIS systems are configured to fully utilize the DICOM and IHE capabilities of SIGNAu2122 Prime for optimized data flow and workflow efficiency.

Details

Category Radiology & Imaging AI
Pricing Contact vendor for pricing — N/A
DeploymentOn-premise (physical installation of MRI system)
Compliance
BAA Available Yes AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

The SIGNA Prime device received 510(k) premarket notification clearance (K211980) from the U.S. FDA on February 11, 2022, for its intended use as a magnetic resonance diagnostic device.
Integrations
EHR Not specified
Specialties Radiology

What the Web Says

The GE Healthcare SIGNA Prime is a 1.5T MRI scanner designed for ease of use and consistent high-quality imaging, particularly appealing to facilities adopting MRI for the first time or those with limited space and resources. It incorporates AI and deep learning technologies like AIR Recon DL for improved image quality and faster scan times, and features an intuitive user interface (SIGNA One) to reduce the learning curve for technologists. The system also boasts a small footprint and reduced helium and power consumption, making it more environmentally friendly and flexible for installation.

Overall: Mixed

Strengths

  • Easy to learn and user-friendly interface (SIGNA One) for technologists of all skill levels.
  • Consistent high-quality images with cutting-edge imaging technology.
  • AI and deep learning (AIR Recon DL) improve image quality, SNR, sharpness, and enable shorter scan times.
  • Small footprint and flexible installation requirements (power, water, cooling, helium access).
  • Reduced helium consumption (70% reduction) and lower power rating (25% lower) contribute to lower operating costs and environmental sustainability.
  • AIR Coils provide form-fitting, 360-degree coverage for more positioning freedom and improved workflow.

Limitations

  • Some Reddit users have expressed that GE's software, in general, can be less user-friendly compared to competitors like Siemens, with extended prescanning and calibration times.
  • Concerns exist regarding GE Healthcare's customer support and pricing for organizations without service contracts, with high hourly rates for basic inquiries.
  • Some GE Healthcare employees on Reddit describe the company as poorly organized with overly complicated processes, and some express dissatisfaction with management and work-life balance.
  • Interface may not display detailed information like matrix size or voxel size directly, requiring manual calculations.

Based on reviews from: GE HealthCare (United States), Collective Minds Radiology, GE Healthcare, Reddit, G2, Fierce Biotech, Business Wire, VayoMed

Last updated: 2026-07-19

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Press & Coverage

Business Standard
Wipro GE Healthcare unveils SIGNAu2122 Prime Elite -- a Made in India, AI powered breakthrough in MR imaging
Wipro GE Healthcare launched SIGNAu2122 Prime Elite, an AI-powered MR imaging system manufactured in India, at the IRIA 2026 Annual Conference. This system aims to provide faster, more comfortable scans and improved diagnostic confidence through advanced imaging intelligence and patient-centric design.
2026-01
Med-Tech News
Wipro GE Healthcare Launches Made-in-India, AI-Powered SIGNAu2122 Prime Elite MR System
Wipro GE Healthcare introduced the 'Made in India' AI-Powered SIGNA Prime Elite MR system, which integrates AI with advanced imaging technology. This system is designed to enhance image clarity, reduce noise, and shorten scan durations, with up to a 37% reduction in table time.
2026-04
Pharmabiz.com
Wipro GE Healthcare unveils SIGNA Prime Elite, a Made-in-India, AI-powered breakthrough in MR imaging - Pharmabiz.com
Wipro GE Healthcare announced the launch of SIGNA Prime Elite, an AI-powered MR imaging system, at the IRIA 2026 Annual Conference in Hyderabad. The system features deep-learning image reconstruction technology for sharper images and reduced scan times, and its compact footprint and lower power consumption support sustainable operations.
2026-01
GE Healthcare (India)
Wipro GE Healthcare unveils SIGNAu2122 Prime Elite u2014 a Madeu2011inu2011India, AIu2011powered breakthrough in MR imaging
Wipro GE Healthcare launched SIGNAu2122 Prime Elite, a 'Made in India' AI-powered MR imaging system, at the IRIA 2026 Annual Conference. It incorporates AI-powered AIR Recon DLu2122 and AIRu2122 Coils to streamline workflows, improve patient experience, and optimize patient outcomes.
2026-02
MPO Magazine
Double-Digit Growth Forecast for India's 1.5T MRI Systems Sector
India's 1.5T MRI systems market is projected to grow by approximately 11% annually through 2036, driven by the need for reliable and cost-effective diagnostic imaging. Wipro GE Healthcare's SIGNA Prime Elite, a 'Made-in-India' AI-powered MR imaging system, is highlighted as a key innovation in this expanding market.
2026-04
AuntMinnie
GE targets radiology efficiency with new product launches - AuntMinnie
GE Healthcare introduced SIGNA Prime at RSNA 2021, describing it as an easy-to-use MRI scanner designed for efficiency and low helium use. The system has a 60-cm bore and was designed for quick installation.
2021-11
GE Healthcare
NEWS BRIEF - GE Healthcare
GE Healthcare introduced SIGNA Prime, a 1.5T MRI system, at RSNA 2021, emphasizing its intuitive user experience and high-quality images. It features Intelligent Magnet Technology for reduced power consumption and helium use.
2021-11
Innolitics (FDA 510(k) Database)
SIGNA Prime (K211980) u2014 FDA 510(k) - Innolitics
The FDA granted 510(k) clearance for GE Healthcare's SIGNA Prime, a whole-body magnetic resonance scanner, on January 16, 2022. The device is indicated for diagnostic imaging to produce various types of images and spectra of the entire body.
2022-01

Videos

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Frequently Asked Questions

SIGNA Prime integrates AI technologies like AIRu2122 Recon DL, a deep learning-based image reconstruction algorithm, to enhance image clarity, reduce noise, and shorten scan times across various anatomies. Additionally, AI-enabled workflow tools such as AIR Touchu2122 and AIR xu2122 automate coil selection and MRI slice prescription, aiming to standardize exam quality and reduce manual variability, thereby streamlining the overall workflow.
GE Healthcare's Design Engineering Privacy and Security (DEPS) process, which applies to SIGNA Prime, adheres to various regulations including HIPAA, GDPR, NIST 800-53, and ISO 27001. This framework ensures that patient data used and processed by the AI features, such as AIR Recon DL, is handled with robust privacy and security measures, including data anonymization and minimization.
While AI in SIGNA Prime significantly improves image quality and workflow, it is primarily an enhancement tool for image reconstruction and workflow automation, not a substitute for human diagnostic expertise. Physicians should be aware that, like all AI in medical imaging, its effectiveness relies on the quality and representativeness of its training data, and it may face challenges with patient data variability or subtle structural differences.
Physicians might consider other 1.5T MRI systems from major manufacturers such as Siemens (e.g., Magnetom Sola, Aera, Sempra) or Philips (e.g., Ingenia 1.5T, Ingenia Ambition 1.5T X). These alternatives also offer advanced imaging capabilities and varying degrees of AI integration, patient comfort features, and operational efficiencies.
The pricing for SIGNA Prime is typically obtained through a custom quote from GE HealthCare or its distributors, as a specific price is not publicly listed. Factors influencing the overall cost include the specific configuration, optional modules (like advanced SIGNAu2122Works XT packages or additional coils), installation requirements, and ongoing service and support contracts.
The AI-powered enhancements, particularly AIRu2122 Recon DL, are designed to improve image quality by leveraging deep learning to remove noise and ringing, enhance signal-to-noise ratio (SNR), and sharpen images. This technology has shown to reduce scan times by up to 37% while maintaining or improving diagnostic quality, contributing to more consistent and reliable images for interpretation.
SIGNA Prime is designed to conform to NEMA DICOM standards, which is crucial for interoperability with Picture Archiving and Communication Systems (PACS) and other hospital IT infrastructure. It also supports data standards like HL7 v2 and SNOMED, facilitating secure data transfer and integration into existing clinical workflows.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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