DeepFoqus (DeepFoqus-Accelerate)

by Foqus Technologies  · Based in Canada → — The Future of Medical Imaging. Powered By Artificial Intelligence.
Neurology Neurosurgery Radiology
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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

FDA Clearance Pathway
DeepFoqus-Accelerate has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) (K241982).
Supported Modalities
Primarily MRI, specifically for brain, prostate, and spinal imaging. It is an AI-powered MRI reconstruction software.
AI Model Architecture (deep learning approach)
Utilizes a deep learning-based MRI reconstruction algorithm, leveraging proprietary neural networks trained on extensive MRI datasets. It is a k-space-based deep learning algorithm.
Processing Speed (per study)
Enables significant scan time reductions: up to 75% (fourfold acceleration) for brain MRI, 50.8% for prostate T2w scans, 61% for lumbar spine MRI, 40% for spinal MRI, and 60% for volumetric brain MRI.
Reading Room Workflow Impact
Improves workflow efficiency and patient experience by reducing scan times, leading to increased patient comfort, shorter waiting lists, and reduced motion artifacts. It can boost radiologist productivity and accelerate diagnoses.
Sensitivity & Specificity Data
For brain MRI, 95% of AI-reconstructed scans scored u22654 on a 5-point Likert scale (minimally acceptable was 3). Mean Structural Similarity Index (SSIM) was 0.95u00b10.03, Peak Signal-to-Noise Ratio (PSNR) >41.0 dB, and Haar wavelet-based Perceptual Similarity Index (HaarPSI) >0.94. Over 90% of AI reconstructions showed SSIM >0.90. For prostate MRI, it demonstrated enhanced diagnostic quality and greater diagnostic precision (p < 0.001). For spinal MRI, it was qualitatively better than standard of care for perceived signal-to-noise ratio and artifacts, with high quantitative SSIM, and higher diagnostic confidence.
DICOM Support & Standards
Described as a 'vendor-agnostic, DICOM-based' tool, indicating compatibility with standard DICOM images for processing.
PACS Integration Method
Integrates with existing MRI systems and workflows. As a vendor-independent tool, it can process noisy images from a PACS solution post-acquisition.
RSNA/ACR Validation
Research on DeepFoqus-Accelerate has been submitted to 'Radiology: Artificial Intelligence' for possible publication, indicating engagement with peer-reviewed scientific validation.
Physician Tip

DeepFoqus-Accelerate can significantly reduce MRI scan times, improving patient comfort and potentially increasing scanner throughput. While primarily for MRI, its deep learning reconstruction maintains or enhances image quality and diagnostic confidence. Be aware that while studies show strong quantitative and qualitative results, continuous evaluation in diverse clinical scenarios is advisable. The tool's ability to integrate with existing workflows as a vendor-agnostic solution offers flexibility in implementation.

DeepFoqus-Accelerate is designed to integrate with existing MRI systems and PACS. Its DICOM-based nature allows it to receive and process images from various modalities and PACS. For optimal workflow, consider how the accelerated images will be routed and displayed within your current PACS and reporting systems. The vendor-agnostic approach suggests a flexible integration, likely through standard DICOM protocols for image transfer and potentially leveraging APIs for more advanced workflow automation.

Details

Category Radiology & Imaging AI
Pricing Contact vendor for details — Not publicly available
DeploymentStand-alone software solution
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

DeepFoqus (DeepFoqus-Accelerate) received 510(k) clearance (K241982) from the U.S. Food and Drug Administration (FDA) on April 4, 2025. It is classified as a Medical Image Management And Processing System (Regulation Number: 21 CFR 892.2050, Regulatory Class: Class II, Product Code: QIH). The clearance is for its use as a stand-alone software solution intended for acceptance, enhancement, and transfer of brain MRI images in DICOM format, specifically for reconstruction of non-contrast enhanced MRI images acquired with 1.5T or 3T Siemens and GE scanners using Sagittal, Axial, or Coronal T1, T2, or FLAIR sequences, and is intended for adult scans only.
Integrations
EHR Not specified
Specialties Neurology, Neurosurgery, Radiology

What the Web Says

DeepFoqus-Accelerate is an AI-powered MRI software that reconstructs images from accelerated MRI scans, aiming to reduce scan times by up to 75% while maintaining diagnostic quality. The software has received FDA clearance and has been found to be substantially equivalent to AIRS Medical SwiftMR. Studies involving neuroradiologists and MRI technologists have indicated that the AI-reconstructed images are clinically equivalent to standard unaccelerated scans.

Overall: Positive

Strengths

  • Enables up to fourfold accelerated brain MRI acquisition, reducing scan time by 75%.
  • Preserves diagnostic image quality comparable to standard-of-care MRI.
  • Utilizes proprietary network design and k-space-based reconstruction for image detail and anatomical fidelity.
  • Supports improved workflow efficiency and patient experience.
  • FDA-cleared and found substantially equivalent to predicate devices.
  • Robust against common MRI artifacts, introducing no additional reconstruction errors.

Limitations

  • Rare, 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.
  • Limited information available from independent tech reviewers, Reddit, G2, or Capterra specifically for DeepFoqus-Accelerate.

Based on reviews from: accessdata.fda.gov, arXiv

Last updated: 2026-07-18

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Press & Coverage

U.S. Food & Drug Administration (FDA)
DeepFoqus (DeepFoqus-Accelerate) 510(k) Premarket Notification
The FDA reviewed Foqus Technologies Inc.'s 510(k) premarket notification for DeepFoqus (DeepFoqus-Accelerate), determining it substantially equivalent to a predicate device for medical image management and processing.
2025-04
FDA
K241982 - 510(k) Premarket Notification
This FDA listing provides details of the 510(k) premarket notification for DeepFoqus (DeepFoqus-Accelerate) by Foqus Technologies, Inc., classifying it as a Medical Image Management And Processing System.
2026-06
FDA
TPLC - Total Product Life Cycle - FDA
DeepFoqus (DeepFoqus-Accelerate) is listed as substantially equivalent in the FDA's Total Product Life Cycle database, under medical image management and processing systems that utilize AI and nonadaptive machine learning algorithms.
2026-07
Physician AI Tools
PixelShine vs DeepFoqus (DeepFoqus-Accelerate)
This article compares DeepFoqus-Accelerate with PixelShine, highlighting DeepFoqus-Accelerate's ability to reduce MRI scan times by up to 75% while maintaining image quality, particularly for brain MRI sequences.
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Videos

Product demos, reviews, and walkthroughs for DeepFoqus (DeepFoqus-Accelerate).

View all on YouTube

Frequently Asked Questions

DeepFoqus-Accelerate is an AI-powered MRI reconstruction software designed to integrate with existing MRI systems and workflows, specifically 1.5T or 3T Siemens and GE scanners. It can significantly reduce MRI scan times by up to 75% while maintaining image quality, leading to increased patient throughput and improved patient comfort by shortening time spent in the scanner.
DeepFoqus-Accelerate has received 510(k) clearance from the U.S. Food and Drug Administration (FDA), signifying its safety and efficacy for medical use. While specific HIPAA compliance mechanisms for DeepFoqus-Accelerate are not detailed in the provided information, FDA clearance for medical devices generally implies adherence to stringent standards for patient data handling and security within healthcare settings.
DeepFoqus-Accelerate is intended for use on adult scans only and is not designed for mobile devices. It is specifically for the reconstruction of non-contrast enhanced brain MRI images acquired with 1.5T or 3T Siemens and GE scanners, utilizing Sagittal, Axial, or Coronal T1, T2, or FLAIR sequences.
Yes, other AI-powered MRI acceleration solutions exist, such as Subtle Medical's Subtle-ELITE suite, which also aims to reduce scan times and enhance image quality. DeepFoqus-Accelerate has been noted as substantially equivalent to AIRS Medical SwiftMR.
Specific pricing details for DeepFoqus-Accelerate are not publicly available in the provided search results. Typically, AI software solutions for healthcare, especially enterprise-level tools, are priced through institutional licensing agreements, subscription models, or custom quotes based on factors like facility size, usage volume, and integration requirements.
DeepFoqus-Accelerate utilizes AI and machine learning models, including convolutional neural networks (CNN) and U-net architectures, for MRI image reconstruction from accelerated scans. Its clinical performance was validated through radiologists reviewing diverse accelerated scans, including pathological and non-pathological brains, to ensure image quality comparable to standard unaccelerated scans, and artifact assessments were conducted to confirm robustness against common MRI artifacts.

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