AIR Recon DL

by GE Medical Systems  · Based in United States → — Level up your MRI image quality with AIR Recon DL MR image reconstruction.
Radiology
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Regulatory Status Disclosed

Overview

AIR Recon DL, developed by GE Healthcare (a division of GE Medical Systems), is a pioneering deep-learning-based image reconstruction software for Magnetic Resonance Imaging (MRI). It fundamentally shifts the balance between image quality and scan time, enabling radiologists to achieve pin-sharp images quicker and with enhanced diagnostic confidence.

Unlike conventional post-processing methods, AIR Recon DL is embedded directly in the MR image reconstruction pipeline, making full use of raw data to remove noise and ringing (truncation) artifacts before final image formation. This results in improved signal-to-noise ratio (SNR) and increased image sharpness, which can lead to a significant reduction in scan times, often by up to 50%.

The technology is compatible with a wide range of GE Healthcare MRI scanners (1.5T, 3.0T, and 7.0T systems) and works across all anatomies and coils, including 2D, 3D, and motion-insensitive PROPELLER imaging sequences. It delivers images in real-time to the MR console, allowing technologists to assess image quality while the patient is still on the table. Users can also select preferred SNR improvement levels (low, medium, or high) to suit their clinical needs.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Deep-learning based image reconstruction
  • Improved Signal-to-Noise Ratio (SNR)
  • Enhanced image sharpness and detail
  • Reduced MRI scan times (up to 50%)
  • Intelligent ringing suppression
  • Compatibility with 2D, 3D, and PROPELLER imaging sequences
  • Works across all anatomies and coils
  • Real-time image generation at the MR console
  • User-selectable SNR improvement levels
  • Available as an upgrade or with new GE Healthcare MRI systems

Use Cases

  • Faster and more accurate MRI diagnoses
  • Improved patient experience (shorter scan times, less discomfort)
  • Increased patient throughput and workflow efficiency
  • Reduced need for repeat scans due to motion or poor image quality
  • Enhanced imaging for challenging patients (pediatric, neurodegenerative, claustrophobic)
  • Applications across various clinical imaging needs (e.g., Oncologic, Musculoskeletal, Neurologic)

What Physicians Need to Know

DICOM Support & Standards
AIR Recon DL is integrated into the MR image reconstruction pipeline and is not a DICOM image filter. It works on raw data to produce images that are then delivered to the MR console, implying the final output is DICOM-compliant for downstream systems.
PACS Integration Method
The technology is embedded directly within GE Healthcare MR systems' reconstruction pipeline, generating images in real-time at the operator's console. This means it functions as an integral part of image generation rather than a separate PACS-side application.
Reading Room Workflow Impact
Significantly reduces MRI scan times by up to 50%, leading to increased patient throughput and more predictable scheduling. It enhances image quality (SNR and sharpness), potentially reducing the need for repeat scans and facilitating faster, more confident diagnoses.
AI Model Architecture (deep learning approach)
Utilizes a pioneering deep learning-based reconstruction algorithm, specifically a convolutional neural network (CNN). It's embedded in the MR image reconstruction pipeline, applying a neural network model to remove noise and Gibbs ringing artifacts from raw data before final image formation. The network employs a cascade of over 100,000 unique pattern recognitions.
Processing Speed (per study)
While the deep learning denoising step adds approximately 1.7 seconds to the reconstruction time, the overall scan time can be reduced by up to 50%. Reconstructed images appear immediately on the console.
FDA Clearance Pathway (510k/De Novo)
Received US FDA 510(k) clearance. Initial clearance was in May 2020 for 3.0T systems, expanded to 1.5T in September 2020. Further 510(k) clearances in September 2022 extended compatibility to 3D and PROPELLER imaging sequences. A modified version with Deep Learning Phase Correction (DLPC) also received 510(k) clearance in December 2025.
Supported Modalities (CT/MRI/X-ray/US)
Exclusively supports Magnetic Resonance Imaging (MRI). It is compatible with GE Healthcare 1.5T, 3.0T, and 7.0T MR systems, covering nearly all MRI clinical procedures and anatomies, including 2D, 3D, PROPELLER, and Diffusion-Weighted Imaging (DWI) sequences.
Sensitivity & Specificity Data
A reader study for AIR Recon DL 3D and PROPELLER reported 100% of participants found better signal-to-noise ratio and better or equivalent image sharpness, and 99% reported better or equivalent lesion conspicuity compared to conventional reconstruction. It allows for higher b-values in DWI while maintaining sufficient clinical SNR.
RSNA/ACR Validation
The technology and its clinical findings have been presented at RSNA 2019, RSNA 2023, and RSNA 2024, with GE Healthcare highlighting its deep learning solutions at these events.
Physician Tip

Leverage AIR Recon DL to optimize MRI protocols by reducing scan times without compromising diagnostic image quality, especially beneficial for motion-prone patients (pediatric, geriatric, claustrophobic) or challenging anatomies. Consider utilizing the expanded protocol space to achieve higher spatial resolution or SNR. The improved image sharpness and lesion conspicuity can enhance diagnostic confidence and potentially reduce radiologist eye fatigue. Integrate the efficiency gains into scheduling to increase patient throughput and operational consistency.

AIR Recon DL is a core software feature embedded within GE Healthcare's MR systems (1.5T, 3.0T, 7.0T) and is activated via software option keys. It operates at the raw data level within the scanner's reconstruction pipeline, not as a separate post-processing application or DICOM filter. This tight integration ensures real-time image generation on the MR console, streamlining the workflow without requiring external PACS-side AI orchestration for image reconstruction.

Details

Category Radiology & Imaging AI
Pricing Contact for pricing
DeploymentIntegrated into GE Healthcare MR systems (new or as an upgrade)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Yes AI-estimated

GE Healthcare's AIR Recon DL received US FDA 510(k) clearance for 2D Cartesian imaging sequences in May 2020, followed by 1.5T systems in September 2020. It later received clearance for 3D and PROPELLER imaging sequences in October 2022, and for SIGNA 7.0T MRI scanners in July 2021.
Integrations
EHR Not specified
Specialties Radiology

What the Web Says

AIR Recon DL is a deep learning-based image reconstruction technology from GE Healthcare designed to improve MRI image quality and accelerate scan times. Reviews from physicians and tech sources generally highlight its ability to produce sharper images, reduce noise, and enable faster patient throughput, which can lead to better diagnostic confidence and operational efficiency. While widely praised, some discussions touch upon the initial investment and potential learning curve for optimal integration.

Overall: Positive

Strengths

  • Significantly improved image quality (sharper, less noise)
  • Reduced scan times, increasing patient throughput
  • Enhanced diagnostic confidence for clinicians
  • Applicable across various anatomical regions and sequences
  • Potential for fewer rescans due to motion artifacts
  • Improved patient experience due to shorter scan durations

Limitations

  • Initial capital investment for upgrading MRI systems
  • Requires compatible GE Healthcare MRI scanners
  • Potential need for staff training on new workflows
  • Some users report a slight 'smoothed' appearance in certain images, though generally preferred
  • Dependency on a specific vendor's ecosystem
  • Optimal benefits may require fine-tuning of existing protocols

Based on reviews from: GE Healthcare official information, Radiology journals and clinical studies, Healthcare IT publications, Physician forums and discussions, Tech review sites (e.g., AuntMinnie.com), Reddit discussions (r/radiology, r/mri)

Last updated: 2026-07-18

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Press & Coverage

GE Healthcare
GE Healthcare's AIR Recon DL Receives FDA Clearance of 3D and Motion-Insensitive Imaging Applications for Next-Level Image Quality and Patient Experience in MRI
GE Healthcare announced FDA 510(k) clearance for AIR Recon DL for 3D and PROPELLER imaging sequences, extending its benefits to nearly all MRI clinical procedures for improved image quality, shorter scan times, and enhanced patient experience. As of September 2022, over 3.5 million patients globally have been scanned with AIR Recon DL.
2022-10
Applied Radiology
FDA Clears GE Healthcare's AIR Recon DL for 3D and Motion-Insensitive Imaging Applications
GE Healthcare received FDA 510(k) clearance for its AIR Recon DL for 3D and PROPELLER imaging sequences, expanding its compatibility to cover almost all MRI clinical procedures and anatomies. This deep learning-based technology improves image quality, shortens scan times, and enhances the patient experience.
2022-09
GE Healthcare
GE Healthcare's Pioneering Deep Learning Image Reconstruction Technology Benefits More Than 2 Million Patients Globally
GE Healthcare announced the expansion of its AIR Recon DL to include motion-insensitive PROPELLER and 3D applications, covering nearly 90% of clinical MR sequences. This technology has benefited over two million patients worldwide with sharper images, less noise, and up to a 50% reduction in exam times.
2022-05
GE Healthcare
GE HealthCare Showcases AI-Powered MRI Technologies
GE HealthCare is expanding AIR Recon DL to support Zero Echo Time (ZTE) and Silenz low-acoustic noise imaging, which can provide CT-like images without ionizing radiation and improve image quality and reduce scan time for ZTE exams. This expansion is part of GE HealthCare's latest MR capabilities built on the SIGNA One workflow ecosystem.
2026-05
GE Healthcare
Ultra-High-Field MRI Combines Forces with Artificial Intelligence: AIR Recon DL Receives FDA 510(k) Clearance on SIGNA 7.0T
GE Healthcare announced FDA 510(k) clearance for AIR Recon DL on SIGNA 7.0T MRI scanners, making it available across their entire MR portfolio. This deep learning technology improves image quality and reduces scan times by 30-50%, benefiting over half a million patients globally since its initial launch.
2021-05
Axis Imaging News
FDA Clears AIR Recon DL, Deep Learning-Based MR Image Reconstruction Technology from GE Healthcare
GE Healthcare received FDA 510(k) clearance for AIR Recon DL, a deep learning-based reconstruction algorithm that improves MR image quality and reduces scan times across all anatomies. Developed on GE's Edison intelligence platform, it integrates seamlessly into clinical workflows for real-time image generation.
2020-05
GE Healthcare
GE Healthcare's AIR Recon DL Technology Recognized by Popular Science Magazine in the 'Best of What's New' Awards
GE Healthcare's AIR Recon DL technology was recognized in Popular Science Magazine's 'Best of What's New' awards for its ability to provide clinical efficiency through shorter scan times and higher resolution in MRI procedures. The technology has benefited nearly 5.5 million patients worldwide.
2022-11
PMC (National Library of Medicine)
Evaluation of a Deep Learning Reconstruction for High-Quality T2-Weighted Breast Magnetic Resonance Imaging
This study evaluates a prototype deep learning reconstruction, now commercially available as AIR Recon DL (GE Healthcare), for high-quality T2-weighted breast MRI. The technology, based on a convolutional neural network, is trained to reduce image noise, increase sharpness, and minimize artifacts.
2023-10

Videos

Product demos, reviews, and walkthroughs for AIR Recon DL.

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Frequently Asked Questions

AIR Recon DL, a deep-learning-based reconstruction algorithm, significantly improves the signal-to-noise ratio (SNR) and image sharpness by reducing noise and ringing artifacts directly from raw MRI data. This technology allows for shorter scan times, potentially reducing them by up to 50%, which leads to a more comfortable patient experience and increased patient throughput.
AIR Recon DL has received 510(k) clearance from the U.S. FDA, initially in May 2020 for 2D imaging and later expanded in October 2022 to include 3D and PROPELLER imaging sequences, covering nearly all MRI clinical procedures and anatomies. This clearance involved extensive reader studies demonstrating its safety and efficacy, with no reported instances of missed pathologies or 'hallucinated' structures compared to conventional images.
Yes, other vendors offer deep learning MRI reconstruction technologies, such as Siemens Healthineers Deep Resolve, Philips SmartSpeed AI, and AIRS Medical's SwiftMR. While all aim to improve image quality and reduce scan times, their approaches vary, with some combining AI with traditional acceleration methods or integrating AI directly into the acquisition pipeline.
AIR Recon DL is available on new GE Healthcare MRI scanners and as an an upgrade for the vast majority of GE Healthcare's installed 1.5T and 3.0T MRI systems. This upgrade capability allows imaging facilities to refresh existing systems with advanced deep learning capabilities, potentially saving on capital expenditure.
While AIR Recon DL significantly enhances image quality, studies have shown it can introduce modest, systematic volumetric biases in quantitative brain structure measurements, although it has not been reported to miss pathologies or 'hallucinate' structures. The quality of deep learning-reconstructed images also remains dependent on the quality of the acquired raw data and the training performance of the algorithm.
AIR Recon DL seamlessly integrates into the clinical workflow, generating reconstructed images in real-time at the operator's console. Clinicians have reported that the resulting sharper, less noisy images are easier and quicker to read, leading to increased diagnostic confidence and reduced eye fatigue.

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