DeepFoqus (DeepFoqus-Accelerate)
by Foqus Technologies
· Based in Canada →
— The Future of Medical Imaging. Powered By Artificial Intelligence.
Contact vendor for details
Regulatory Status Disclosed
Overview
DeepFoqus-Accelerate, developed by Foqus Technologies, is an AI-powered MRI reconstruction software designed to significantly reduce MRI scan times while maintaining or enhancing image quality. It leverages proprietary AI technology and quantum algorithms to process accelerated MRI scans, enabling healthcare providers to increase scanner throughput, reduce patient wait times, and improve access to high-quality diagnostic care. The software integrates with existing MRI systems and workflows, specifically supporting non-contrast enhanced brain MRI images (T1, T2, and FLAIR sequences) acquired with 1.5T or 3T Siemens and GE scanners. It is a stand-alone software solution intended for use on adult scans only. DeepFoqus-Accelerate aims to revolutionize the MRI experience by making scans faster, more efficient, and more accessible without requiring costly hardware upgrades.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered MRI reconstruction
- Quantum algorithms for signal enhancement
- Reduces MRI scan times by up to 75% (or 4x acceleration)
- Maintains or enhances image quality
- Compatible with existing 1.5T and 3T Siemens and GE MRI scanners
- Supports T1, T2, and FLAIR sequences for brain MRI
- Accepts HDF5 and DICOM input files
- Produces clinical-quality scans from undersampled data
- DICOM output for enhanced images
- Stand-alone software solution
Use Cases
- Accelerating MRI scan procedures
- Increasing MRI scanner throughput
- Reducing patient wait times for MRI appointments
- Improving patient access to MRI diagnostics
- Enhancing diagnostic efficiency in radiology departments
- Facilitating early detection of diseases through higher-quality imaging
What Physicians Need to Know
DICOM Support & Standards
DeepFoqus-Accelerate is a standalone software solution that accepts and converts brain MRI images in DICOM format. It also allows input of HDF5 files.
PACS Integration Method
The software is designed to integrate with existing MRI systems and workflows.
Reading Room Workflow Impact
DeepFoqus-Accelerate is designed to improve workflow efficiency and patient experience by enabling robust fourfold brain MRI acceleration with a 75% reduced scan time, while preserving diagnostic image quality.
AI Model Architecture (deep learning approach)
DeepFoqus-Accelerate utilizes AI and machine learning models, combining various signal processing and machine learning techniques, including several convolutional neural network (CNN) and U-net architecture models. It is a k-space-based deep learning MRI reconstruction algorithm that leverages proprietary neural networks.
Processing Speed (per study)
The software enables robust fourfold brain MRI acceleration, reducing scan times by 75%, meaning MRIs could take 10 minutes instead of 40.
FDA Clearance Pathway (510k/De Novo)
DeepFoqus-Accelerate received 510(k) clearance from the U.S. Food and Drug Administration (FDA) on April 4, 2025, under submission K241982.
Supported Modalities (CT/MRI/X-ray/US)
DeepFoqus-Accelerate is designed for MRI, specifically for the reconstruction of non-contrast enhanced brain MRI images.
Sensitivity & Specificity Data
In a study, no AI-reconstructed scan scored below 3 (minimally acceptable) on a 5-point Likert scale, and 95% scored ≥4. The mean Structural Similarity Index (SSIM) was 0.95 ± 0.03 (90% of cases >0.90), Peak Signal-to-Noise Ratio (PSNR) was >41.0 dB, and Haar wavelet-based Perceptual Similarity Index (HaarPSI) was >0.94. Rare artifacts did not affect diagnostic interpretation.
RSNA/ACR Validation
A retrospective-prospective study evaluated DeepFoqus-Accelerate's performance on a mixed dataset, including publicly available fastMRI data and prospectively acquired scans. Three board-certified neuroradiologists and two MRI technologists independently reviewed paired standard-of-care and AI reconstructions.
Physician Tip
DeepFoqus-Accelerate can significantly reduce MRI scan times for brain imaging, potentially improving patient comfort and throughput. The software is intended for adult, non-contrast enhanced brain MRI acquired on compatible 1.5T or 3T Siemens and GE scanners using Sagittal, Axial, or Coronal T1, T2, or FLAIR sequences. Quantitative and qualitative evaluations suggest that the diagnostic image quality is preserved despite the acceleration. Consider its use for optimizing MRI scheduling and potentially reducing motion artifacts due to shorter scan durations.
DeepFoqus-Accelerate is a standalone software solution that integrates with existing MRI systems and workflows. It accepts HDF5 and DICOM files and converts final volumes to DICOM format.
Details
| Category | Radiology & Imaging AI |
| Pricing | Contact vendor for details |
| Deployment | Stand-alone software solution |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status | Cleared AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Neurology, Neurosurgery, Radiology |
What the Web Says
DeepFoqus-Accelerate is an AI-enabled software designed to significantly speed up MRI scans, potentially reducing scan times by up to 75% while maintaining diagnostic image quality. It has received FDA 510(k) clearance and Health Canada approval, and studies involving neuroradiologists and MRI technologists indicate that its AI-reconstructed images are clinically equivalent to standard-of-care images.
Overall: PositiveStrengths
- Enables up to fourfold accelerated brain MRI acquisition, reducing scan time by 75%.
- Preserves diagnostic image quality, with AI-reconstructed images being clinically equivalent to fully sampled standards.
- Proprietary network design and k-space–based reconstruction maintain image details and anatomical fidelity.
- Supports reliable diagnostic interpretation across various clinical scenarios.
- Can be deployed on existing MRI scanners, offering a less expensive solution than new MRI machines.
- Potential to improve patient throughput, comfort, and MRI suite efficiency.
Limitations
- Infrequent, minor intensity nonuniformity or occasional artifacts have been noted, though they did not impede diagnostic interpretation.
- Inter-rater agreement among reviewers was slight to moderate in one study.
- A small number of outliers showed reduced image similarity scores, aligning with reader-noted artifacts.
Based on reviews from: arxiv.org, financialpost.com, semanticscholar.org, headtopics.com
Last updated: 2026-10-30
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Press & Coverage
Medtech Spectrum
DeepFoqus (DeepFoqus-Accelerate), Foqus Technologies Inc. Radiology, QIH. 04/03/2025, K242551
DeepFoqus-Accelerate, developed by Foqus Technologies Inc., received FDA clearance on April 3, 2025, under submission K242551 for use in Radiology. This regulatory approval highlights the FDA's commitment to integrating trustworthy AI into medical devices while maintaining safety and efficacy standards.
2025-04
OBIO
DeepFoqus-Accelerate Receives FDA Clearance
Foqus Technologies announced that its AI-powered MRI reconstruction software, DeepFoqus-Accelerate, received 510(k) clearance from the U.S. Food and Drug Administration (FDA) on May 21, 2025. This software integrates with existing MRI systems to reduce scan times by 75% while maintaining image quality.
2025-05
FDA.gov
Foqus Technologies Inc. DeepFoqus (DeepFoqus-Accelerate) K241982
DeepFoqus-Accelerate received FDA 510(k) clearance on April 4, 2025, as a stand-alone software solution for accepting, enhancing, and transferring brain MRI images in DICOM format. It is intended for adult, non-contrast brain MRI acquired on compatible 1.5T or 3T Siemens and GE scanners.
2025-04
arXiv
Evaluation of Machine Learning Reconstruction Techniques for Accelerated Brain MRI Scans
A retrospective-prospective study, submitted on September 8, 2025, evaluated DeepFoqus-Accelerate's ability to preserve diagnostic quality in brain MRI scans accelerated up to fourfold. The study found that no AI-reconstructed scan scored below 'minimally acceptable,' with 95% scoring 'good' or better.
2025-09
Healthcare AI Ops
DeepFoqus (DeepFoqus-Accelerate) 510(k) K241982
DeepFoqus (DeepFoqus-Accelerate) received FDA authorization on April 4, 2025, under 510(k) number K241982, categorizing it as an FDA-authorized radiology tool.
2025-04
Financial Post
This Canadian startup is using quantum-inspired AI to speed up MRI scans by 75%
Foqus Technologies Inc., founded in 2021, is developing AI-enabled software, DeepFoqus-Accelerate, that uses quantum algorithms to produce higher-quality MRI images up to 75% faster. The company received FDA 510(k) clearance and Health Canada approval for its platform in April 2025.
2026-08
ResearchGate
Deep Learning-Based Enhancement of Low-Field MRI Using CNN-GAN for High-Quality Image Reconstruction
A study published in October 2026 discusses a deep learning-based enhancement framework for low-field MRI, with findings demonstrating that DeepFoqus-Accelerate enables robust fourfold brain MRI acceleration with 75% reduced scan time while preserving diagnostic image quality.
2026-10
ResearchGate
AI in MRI Reconstruction: A Comprehensive Review of Deep Learning Approaches and Clinical Applications
A review from October 2026 highlights that DeepFoqus-Accelerate enables robust fourfold brain MRI acceleration with 75% reduced scan time, preserving diagnostic image quality and supporting improved workflow efficiency.
2026-10
Videos
Product demos, reviews, and walkthroughs for DeepFoqus (DeepFoqus-Accelerate).
Music for Deep Intense Focus of Work and Long Hours of Peak Performance
Frequently Asked Questions
DeepFoqus-Accelerate is an AI-powered software that integrates with existing MRI systems to significantly reduce scan times, specifically for brain MRIs. It uses quantum algorithms and machine learning to reconstruct high-quality images from less data, potentially cutting scan times by up to 75% (e.g., from 40 minutes to under 10 minutes). This can lead to increased patient throughput, reduced wait times, and improved operational efficiency without requiring new MRI hardware.
Yes, DeepFoqus-Accelerate received FDA 510(k) clearance in April 2025, indicating it is considered safe and effective for its intended use. It also has approval from Health Canada. The software is classified as automated radiological image processing software.
DeepFoqus-Accelerate is currently limited to adult, non-contrast brain MRI acquired on compatible 1.5T or 3T Siemens and GE scanners, using Sagittal, Axial, or Coronal T1, T2, or FLAIR sequences. While it significantly accelerates scans, there are inherent limitations in deep learning reconstructions, such as potential for minor intensity non-uniformity or occasional artifacts, though these have not been found to impede diagnostic interpretation.
While specific details about DeepFoqus-Accelerate's data privacy protocols are not extensively detailed, generally, healthcare AI solutions must adhere to stringent data protection measures. This includes compliance with regulations like HIPAA and GDPR, ensuring data encryption, access controls, and secure handling of protected health information (PHI).
Yes, the radiology AI market is diverse, with solutions addressing various needs. Alternatives include AI for acute triage (e.g., Aidoc, Viz.ai, RapidAI), finding detection (e.g., Annalise.ai, Qure.ai, Lunit, Gleamer), and reporting (e.g., Rad AI, Nuance PowerScribe). DeepFoqus-Accelerate specifically focuses on accelerating MRI acquisition, a different function than many other AI tools.
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| Last Verified: 2026-04-18 | First Added: 2026-04-18