uAIFI Technology
Prospective Technology Advances
Achieve the Impossible for Imaging
AI learns and AI evolves. So does uMR®. We build the uAIFI Technology Platform for our uMR® family that makes AI accessible to all. Utilizing the latest AI innovations, uAIFI facilitates outstanding images you expect and delivers remarkable patient care for your community. Achieve all that you thought impossible with speed, ease, comfort, and confidence.
AI Made Attainable
AI Made Fast
AI Made Easy
AI Made Modern
AI Made Attainable
Artificial Intelligent was not widely accessible in the field of MRI in the past. To make a difference, uAIFI Technology Platform is dedicated to empowering each uMR® scanner to provide outstanding image quality and improved diagnosis confidence.
By integrating Deep Learning (DL) into image reconstruction, DeepRecon simultaneously increases image sharpness and signal-to-noise ratio (SNR), leading to better display of anatomical details and improved diagnosis confidence.
Intelligently removes noise from images while maintaining excellent diagnostic image quality.
Delivers high-resolution anatomical structure with sharper anatomical structure.
A double safety lock design in both image domain and K-space domain for high-reliability results.
Applicable for multi-bed scanning such as whole spine and whole-body imaging.
uAIFI ACS (AI-assisted Compressed Sensing) is United Imaging's exclusive MR acceleration solution to best balance speed and image quality. Combining CS, HF and PI, it innovatively introduces the state-of-the-art deep learning neural network as the AI module into the acquisition procedure. It empowers users to achieve either improved image quality without prolonging imaging time, or reduced imaging time without sacrificing image quality -- allowing more complete examinations while enriching radiologists' confidence and enhancing patient comfort.
Allows higher acceleration level for MRI imaging.
Enables each body part acquisition within 100 seconds, significantly increasing patient throughput and reducing motion artifacts.
Better depiction of small anatomical structures expands diagnostic capabilities.
Benefits elderly, pediatric and other special patients who have trouble tolerating MRI exams, improving the success rate.
AI Made Modern
We are a modern company and AI is a modern tool. By integrating AI with various cutting-edge MRI technologies, the uAIFI Technology Platform makes MR imaging more powerful and more comfortable.
Made of innovative conductive polymer composite material.
Flexibly adapts to patients' body contours.
No coil coupling effect for high-density coil unit arrangement.
Reduced power consumption and thickness.
Suppresses the noise from the source by intelligently optimizing and smoothing the gradient trajectory.
*Depending on the condition of usage and examination.
Quiet scanning is provided during whole time of the scan including pre-scan and scout imaging.
Available for 2D/3D anatomical imaging as well as DWI, SWI, and MRS.
Supports the whole body including brain, musculoskeletal system, chest, abdomen, pelvis, angiography, and more.
AI Made Easy
The uAIFI Technology Platform is developing a wide range of intelligent MRI solutions and continues to lead in the entire process of MR scanning, including intelligent positioning, intelligent sensing, intelligent post-processing, and more.
Intelligent guidance of the whole process, providing high stability and consistency of images.
Optimizes the whole scanning process through intelligent control, calculation, evaluation and coil recognition.
Covers the whole body including the brain, spine, cardiac, abdomen and joints.
One-click performs all cardiac localizations.
Industry's first dual-source phased-array millimeter-wave radar solution for contactless sensing of patients' respiratory motions.
Without the need for technologists to attach a respiratory belt to patients.
Contactless sensing for free breathing, better for patients with respiratory challenges.
Fully integrated within MRI bore and unobstructed by clothing or MRI RF coils.
0.1mm detection accuracy of breathing motion with a temporal resolution up to 20ms.
Deep Learning-based automated analysis of arterial vessel wall and plaque on MR vessel wall images.
Automatic centerline extraction and centerline editing tools are provided to identify the intracranial and carotid vessels.
Automatic vessel wall segmentation, and contour editing tool are provided, allowing the user to perform vascular segmentations and stenosis analysis.
Provides users with a variety of segmentation and editing tools, helping users to segment and analyze the plaque and composition.
3D rendering showing the fusion of blood vessels and plaques, visually presenting information on the structure of blood vessels and plaques.
uMR® with uAIFI Inside
Designed to provide the uMR® with significant performance enhancements: more powerful imaging capabilities, better workflow, and an improved user experience.