Deep Recon

JSON twin: https://www.healthaidb.com/software/deep-recon.json

Company Name

United Imaging

Product URL

https://www.united-imaging.com/en/products/deep-recon

Company URL

https://www.united-imaging.com

Categories

Summary

DeepRecon is a deep learning-based image reconstruction technology developed by United Imaging, designed to enhance MRI image quality by improving signal-to-noise ratio and image sharpness, leading to more accurate diagnostics and better patient care.

Description

DeepRecon is a deep learning-based image reconstruction technology developed by United Imaging, designed to enhance MRI image quality by improving signal-to-noise ratio and image sharpness, leading to more accurate diagnostics and better patient care. It is integrated into United Imaging's MRI systems, such as the uMR 680, uMR 780, and uMR Omega, to provide high-resolution imaging with reduced noise and improved clarity. DeepRecon utilizes convolutional neural networks trained on extensive datasets to intelligently denoise images while maintaining high fidelity, resulting in clearer and more detailed MRI scans. This technology is part of United Imaging's uAIFI platform, which also includes other AI-driven features like EasySense for contactless respiratory motion sensing and EasyScan for streamlined workflow management. DeepRecon's implementation in MRI systems contributes to faster scan times, enhanced image quality, and improved patient comfort, making it a valuable tool in modern medical imaging.

Api Available

unknown

Certifications

Company Founding

2011

Company Offices

Compliance

Customers

Data Residency

US/EU regions

Data Standards

Deployment Model

Features

Id

SW0505

Integration Partners

Integrations

Languages Supported

Last Updated

2025-10-11

License

commercial

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor for pricing information.

Pricing Model

enterprise_quote

Privacy Features

Product Code

SW0505

Product Name

Deep Recon

Ratings

Regions Available

Related Urls

Release Year

Security Features

Specialties

Support Channels

System Requirements

1.5 Tesla MRI system, 70 cm bore diameter, up to 96 RF independent receive channels, 45 mT/m gradient amplitude, 200 T/m/s slew rate

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON