iQMR

by Medic Vision - Imaging Solutions  · Based in Israel → — AI-Assisted MRI Image Enhancement for Faster Scans and Sharper Images
Radiology
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Regulatory Status Disclosed

Overview

iQMR by Medic Vision is an AI-assisted MRI image enhancement technology designed to optimize magnetic resonance imaging workflows. It functions as a vendor-neutral, centralized network-based add-on system that seamlessly connects to all MRI scanners in an imaging department or practice via the DICOM network. The system receives fast-scan, noisy images from the MRI scanner, processes them using sophisticated AI-assisted iterative image reconstruction algorithms, and then transmits high-quality, enhanced images to PACS and/or other workstations. This technology enables a significant reduction in MRI scan times, up to 40%, while simultaneously improving image quality by reducing noise, enhancing contrast, and increasing the signal-to-noise ratio (SNR). The result is increased productivity, improved operational efficiency, and a better patient experience due to shorter scan durations and fewer repeat scans.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-assisted image enhancement
  • Vendor-neutral compatibility with all MRI scanners
  • Up to 40% faster MRI scans
  • Significant increase in productivity (e.g., 35%)
  • Reduces noise and improves contrast in MRI images
  • Increases Signal-to-Noise Ratio (SNR)
  • Customized image enhancement for radiologists
  • Centralized network-based add-on system
  • Seamless integration into DICOM workflow
  • Supports short MRI protocols

Use Cases

  • Accelerating MRI scan times
  • Improving MRI image quality
  • Increasing MRI department productivity and efficiency
  • Reducing repeat MRI scans
  • Enhancing patient experience during MRI examinations
  • Optimizing MRI protocols for various body parts

What Physicians Need to Know

DICOM Support & Standards
iQMR connects to MRI scanners via the DICOM network, receives noisy images in DICOM format, processes them, and sends high-quality images to PACS and/or other workstations. The device is intended for networking, communication, processing, and enhancement of MRI images in DICOM format.
PACS Integration Method
iQMR is a centralized network-based add-on system. It connects to all MRI scanners in the imaging department or practice via the DICOM network, automatically processes images, and sends the high-quality images to PACS and/or other workstations.
Reading Room Workflow Impact
The system is designed to enable shorter MRI protocols, leading to increased productivity and an improved patient experience. It's an add-on tool that aims to significantly enhance the efficiency and productivity of MR scanners, allowing for more scans per day or managing current patient capacity with reduced staff, all while maintaining an unchanged workflow for radiologists.
AI Model Architecture (deep learning approach)
iQMR utilizes Medic Vision's proprietary 3D iterative image reconstruction algorithms, which are described as AI-assisted and machine-learning-assisted. These algorithms are specifically tuned for MRI images to substantially improve Signal-to-Noise Ratio (SNR) and image quality.
Processing Speed (per study)
A quantitative multi-site study demonstrated that implementing iQMR results in an average 40% reduction in MR scan time, with a 35% boost in productivity, while maintaining or enhancing image quality. The system operates in real-time.
FDA Clearance Pathway (510k/De Novo)
iQMR received U.S. Food and Drug Administration (FDA) clearance via the 510(k) pathway (K173605) in May 2018. It is cleared for all body parts.
Supported Modalities (CT/MRI/X-ray/US)
iQMR is specifically designed for MRI image enhancement and supports MRI scanners from all vendors and models.
RSNA/ACR Validation
iQMR was showcased at the ASNR 56th Annual Meeting and presented at RSNA.
Physician Tip

iQMR can significantly reduce MRI scan times, potentially improving patient throughput and comfort, especially for lengthy protocols or patients prone to motion. The vendor-neutral nature allows integration with existing MRI equipment across different manufacturers. While enhancing image quality and SNR, it's important to note that the device processing is not effective for very small lesions (less than 1.5mm). Radiologists should leverage the improved image quality for diagnostic confidence and consider the potential for optimizing scan protocols to maximize departmental efficiency.

iQMR functions as a centralized, network-based add-on system that seamlessly integrates into existing radiology workflows via the DICOM network. It receives images directly from MRI scanners and automatically sends the enhanced images back to PACS and/or other workstations, ensuring compatibility with standard medical imaging infrastructure.

Details

Category Radiology & Imaging AI
Pricing Contact vendor for pricing. — Contact vendor for pricing.
DeploymentCentralized network-based add-on system, runs on a PC server, connects via DICOM network.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

iQMR received U.S. Food and Drug Administration (FDA) clearance (K173605) on March 8, 2018, for all body parts. It is intended for networking, communication, processing, and enhancement of MRI images in DICOM format.
Integrations
EHR Not specified
Specialties Radiology

Ratings & Reviews

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Press & Coverage

AuntMinnieEurope
Medic Vision's iQMR AI software cleared in the U.K.
Medic Vision has received clearance in the U.K. to market its iQMR AI-assisted MRI image enhancement technology, which enables 40% faster MRI scans and a 35% increase in productivity. The software is vendor-neutral and enhances image quality by reducing noise and improving contrast.
2024-01
Journal of Multidisciplinary Healthcare (Dove Press)
Validation and Feasibility of Ultrafast Cervical Spine MRI Using a Deep Learning-Assisted 3D Iterative Image Enhancement System
This prospective study validated the use of iQMR, a deep learning-assisted 3D iterative image enhancement system, for ultrafast cervical spine MRI, demonstrating significant improvements in image quality and diagnostic performance compared to conventional methods. The system is FDA-approved and involves post-processing procedures without k-space data.
2024-05
Lippincott (Journal of Medical Artificial Intelligence)
Combining 3D iterative image reconstruction and deep learning to improve image quality of knee joint MRI fast sequences: a focus on meniscal injury evaluation
A study investigated a hybrid reconstruction approach using iQMR software to improve image quality in fast knee MRI sequences, particularly for meniscal injury evaluation. The results showed significantly higher qualitative image quality scores and improved SNR in the 'After Processing' group, comparable to conventional sequences, while reducing scan times by over 66%.
2026-04
Current Medical Imaging (Bentham Science Publishers)
Application Value of Intelligent Quick Magnetic Resonance for Accelerating Brain MR Scanning and Improving Image Quality in Acute Ischemic Stroke
This prospective study evaluated iQMR's effectiveness in accelerating brain MRI scans and improving image quality for acute ischemic stroke patients. The study found that iQMR significantly reduced total scan time by 48.22% and improved SNR/CNR in accelerated sequences, achieving parity with routine sequences.
2025-10
Frontiers in Medicine
Feasibility of knee magnetic resonance imaging protocol using artificial intelligence-assisted iterative algorithm protocols: comparison with standard MRI protocols
This study evaluated the image quality and diagnostic performance of AI-assisted iterative algorithm protocols (AIIA), specifically Medic Vision's iQMR, in accelerated fast spin-echo MRI for rapid knee scans. The AIIA group showed significantly higher subjective image quality scores for every sequence compared to standard protocols, with comparable diagnostic performance for meniscal and cruciate ligament rupture.
unknown
PR Newswire
Medic Vision's AI-assisted technology improves efficiency at North Texas Imaging center
Medic Vision and Gateway Diagnostic Imaging announced the successful completion of an MRI efficiency improvement project using iQMR, an AI-assisted iterative image reconstruction software. The implementation led to a 22% increase in MRI productivity and an average of 4 more patients per day per scanner.
2023-03
Applied Radiology
iQMR from Medic Vision Enables Fast MR Protocols While Maintaining Image Quality
Medic Vision presented iQMR, its AI-assisted image enhancement system that allows for fast MR protocols while maintaining image quality. A multi-site study showed that iQMR resulted in a 40% reduction in MR scan time and a 35% boost in productivity.
2022-11
Imaging Technology News
Medic Vision Wins Japanese PMDA Clearance for iQMR Image Reconstruction Solution
Medic Vision's iQMR, a 3-D iterative image reconstruction technology for shortening MRI scans, has been cleared by the Japanese Pharmaceuticals and Medical Devices Agency (PMDA). The software will be distributed in Japan by Nagase & Co. Ltd.
2019-07

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