iQMR

by MedicVision  · Based in Israel →
Radiology
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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 is compatible with DICOM networks, receiving fast-scan noisy images from MRI scanners and sending processed high-quality images to PACS and/or other workstations.
PACS Integration Method
iQMR is a centralized network-based add-on system that integrates between the MRI scanner and PACS.
Reading Room Workflow Impact
iQMR can significantly improve efficiency and productivity by enabling faster MRI scans (up to 40% faster) and allowing for more scans per day. It allows radiologists to fine-tune image reconstructions to their preferences.
AI Model Architecture (deep learning approach)
iQMR utilizes an AI-assisted iterative image reconstruction software system that combines deep learning with traditional image enhancement technologies. It processes input images using a convolutional neural network (CNN) to enhance small details and improve sharpness. The technology includes iterative image reconstruction (IIR), edge enhancement, super-resolution, k-space correction, and image personalization.
Processing Speed (per study)
iQMR enables a significant reduction in MRI scan time, with studies showing an average reduction of 40% and up to 48.22% in specific brain MRI sequences. This can lead to increased productivity, such as 4 more patients per day per scanner.
FDA Clearance Pathway (510k/De Novo)
iQMR received U.S. Food and Drug Administration (FDA) 510(k) clearance in May 2018.
Supported Modalities (CT/MRI/X-ray/US)
iQMR is specifically designed for MRI scanners and is compatible with MRI scanners of all vendors and models.
RSNA/ACR Validation
iQMR has been showcased at RSNA, including RSNA 2023. A multi-site study on iQMR's impact on MRI imaging was presented at the American Society of Neuroradiology annual meeting.
Physician Tip

iQMR can be leveraged to significantly reduce MRI scan times, potentially increasing patient throughput and improving departmental efficiency without compromising image quality. Radiologists can utilize the image enhancement features to fine-tune reconstructions to their diagnostic preferences. The vendor-agnostic nature of iQMR allows for consistent image quality and workflow across different MRI scanner models and manufacturers.

iQMR is designed as a centralized network-based add-on system that connects to MRI scanners via the DICOM network. It integrates seamlessly by receiving raw images from the scanner, processing them, and then sending the enhanced images to PACS and other workstations, ensuring compatibility with existing radiology IT infrastructure.

Details

Category Radiology & Imaging AI
Pricing Unknown
Compliance
BAA AvailableUnknown
HIPAA CompliantUnknown
FDA Status Unknown
Integrations
EHR Not specified
Specialties Radiology

What the Web Says

iQMR by Medic Vision is an AI-assisted image enhancement system designed to improve MRI efficiency and image quality. It enables faster MRI scans (up to 40% reduction in scan time) while maintaining or enhancing diagnostic value, and is compatible with MRI scanners from various vendors. The system is FDA-cleared for all body parts and is installed in over 200 hospitals and imaging centers worldwide.

Overall: Positive

Strengths

  • Reduces MRI scan time by up to 40%, increasing productivity and efficiency.
  • Maintains and can even enhance image quality and signal-to-noise ratio (SNR).
  • Vendor-agnostic, supporting MRI scanners from any manufacturer and model.
  • AI-enabled image enhancement reduces noise and improves contrast.
  • Allows radiologists to fine-tune image reconstructions to their preferences.
  • Improves patient experience by reducing scan time and anxiety.

Limitations

No significant limitations found in public reviews. Consider checking vendor documentation or requesting a demo for a thorough evaluation.

Based on reviews from: biospace.com, appliedradiology.com, auntminnieeurope.com, auntminnie.com, prnewswire.com, radiologytoday.net, itnonline.com

Last updated: 2026-10-31

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Press & Coverage

prnewswire.com
Medic Vision's iQMR™ System to Allow 40% MRI Scan-Time Reduction in More Than 350 Medical Centers in China, Under a Multi-Million Dollar Agreement
Medic Vision signed a multi-million dollar agreement with KAME, an affiliate of Beijing Century Galaxy Technology Group, to deliver over 350 iQMR systems to healthcare centers in China, aiming to reduce MRI scan time by up to 40% and significantly increase productivity.
2019-02
itnonline.com
FDA Clears Medic Vision's iQMR MRI Image Enhancement Technology
The U.S. Food and Drug Administration (FDA) cleared Medic Vision's iQMR (intelligent Quick MR) in May 2018. This iterative image reconstruction technology enhances noisy MRI images and increases the signal-to-noise ratio, allowing for shorter MRI protocols, increased productivity, and fewer repeat scans.
2018-05
auntminnie.com
Medic Vision enters Korean market with iQMR system
Medic Vision Imaging Solutions announced plans to sell its iQMR image enhancement software in Korea after receiving clearance from the country's Ministry of Food and Drug Safety. A partnership with Nuclear Light Industry (NLI) will facilitate the distribution of the iQMR system in Korea.
2021-01
auntminnieeurope.com
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. The company states that iQMR is vendor-neutral and enables 40% faster MRI scans and a 35% increase in productivity.
2024-01
appliedradiology.com
iQMR from Medic Vision Enables Fast MR Protocols While Maintaining Image Quality
Medic Vision's iQMR is an AI-assisted image enhancement system that supports fast MR protocols on various MR scanners by increasing SNR and image quality. It is FDA-cleared for all body parts and is installed in over 100 U.S. installations and more than 200 hospitals and imaging centers worldwide.
2022-11
benthamdirect.com
Application Value of Intelligent Quick Magnetic Resonance for Accelerating Brain MR Scanning and Improving Image Quality in Acute Ischemic Stroke
A study aimed to evaluate iQMR's effectiveness in accelerating brain MRI scanning and improving image quality in acute ischemic stroke patients. The study found that iQMR significantly improved SNR/CNR in accelerated sequences, achieving parity with routine sequences, and reduced total scan time by 48.22%.
2025-10
auntminnie.com
Medic Vision completes Texas iQMR install
Medic Vision Imaging Solutions completed an installation of its iQMR artificial intelligence reconstruction software for Gateway Diagnostic Imaging of North Texas. According to Medic Vision, iQMR reduces scan time by 22%.
2023-03
appliedradiology.com
Medic Vision Launches Short MRI Image Enhancement Software in the UK
Medic Vision announced the UK market launch of iQMR, an AI-assisted MRI image enhancement technology. The company states that iQMR enables 40% faster MRI scans and a 35% increase in productivity, and its vendor-neutral capabilities make it a valuable tool for imaging departments.
2024-01

Videos

Product demos, reviews, and walkthroughs for iQMR.

View all on YouTube

Frequently Asked Questions

iQMR is an AI-assisted image enhancement system that improves the quality of noisy MRI images by significantly increasing the signal-to-noise ratio (SNR). This allows for the use of faster MRI protocols, which can reduce scan times by an average of 40% and boost productivity by 35%, while maintaining or even enhancing image quality.
Yes, iQMR is designed as a centralized network-based add-on system that connects to all MRI scanners in an imaging department or practice via the DICOM network. It can process images obtained from MRI scanners of any vendor and model.
iQMR is FDA-cleared for all body parts.
iQMR aims to improve overall image quality, lesion conspicuity, and the display of internal lesion structures, which is essential for accurate assessment. By enabling faster scans and providing enhanced images, it can streamline daily radiology workflows, allowing radiologists to handle more patients and focus on complex cases.
While iQMR enhances image quality, denoised images might appear unnatural to some radiologists who are accustomed to a certain level of noise in MRI scans. To address this, iQMR uses a weighted average of processed and original images, combined with user-selected preferences.

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