Quantib ND

by Quantib B.V.  · Based in Netherlands →
Neurology Radiology
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Regulatory Status Disclosed

Overview

Quantib ND, now integrated into DeepHealth Brain, is an AI-powered medical imaging processing application designed for the analysis of brain MRI scans. It is intended to provide quantitative information to trained medical professionals for the evaluation and assessment of neurodegenerative changes.

This tool is primarily for radiologists and neurologists in care settings where MRI brain scans are utilized for diagnosing and monitoring neurodegenerative diseases such as dementia, Alzheimer’s disease, and multiple sclerosis (MS).

Quantib ND integrates into clinical workflows by automatically labeling, visualizing, and volumetrically quantifying segmentable brain structures from MR images. It measures brain atrophy and detects white matter hyperintensities (WMH). The software provides segmentations, visualizations, and volumetric measurements, which can be compared to reference centile data from a healthy population. It offers both single time-point analysis and longitudinal analysis for tracking changes over time. The output includes a comprehensive report with quantitative results that can be sent to PACS.

Notable capabilities include automatic atrophy analysis, longitudinal atrophy and WMH analyses, and a color-coded overlay on T2 FLAIR images to distinguish between new and existing WMH lesions. Users can review and edit WMH segmentations. The tool aims to support and objectify the diagnostic process by providing quantitative data and reducing interobserver variability.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

What Physicians Need to Know

Brain MRI Analysis
Quantib ND provides automated segmentation and volumetric quantification of brain structures (lobes, hippocampus, CSF, white matter, gray matter) and white matter hyperintensities from 3D T1 and T2 FLAIR MRI scans.
Neurodegenerative Disease Screening
The tool offers insights into atrophy related to Alzheimer's disease, other dementias, and supports the monitoring of Multiple Sclerosis (MS) patients through the detection and quantification of white matter hyperintensities.
Quantitative Reporting
Quantib ND generates comprehensive reports with quantitative results, including normative comparisons against a healthy reference population, which can be downloaded or uploaded to a facility's PACS.
Longitudinal Analysis
It includes features for tracking neurodegeneration over time, allowing for the comparison of multiple time-point measurements of brain atrophy and white matter hyperintensities.
Regulatory Clearances
Quantib ND is FDA cleared and CE marked, indicating its compliance with medical device regulations in the US and Europe.
Physician Tip

Quantib ND serves as a valuable decision-support tool, providing objective, quantitative data that complements visual assessment of MRI scans. It is particularly useful for monitoring subtle changes in brain atrophy and white matter hyperintensities over time, which can be challenging to detect with the naked eye. Physicians should integrate these AI-generated insights with their clinical judgment and patient history to enhance diagnostic accuracy and facilitate multidisciplinary discussions. The comprehensive reports can also aid in communicating disease progression and treatment effectiveness to patients.

Quantib ND integrates via AI marketplaces or distribution platforms and can be deployed locally on dedicated hardware. Reports and segmentations are directly and automatically exported to a configured DICOM node, such as a PACS system, and are viewable with standard DICOM viewers. Quantib ND 2.0 operates as an extension for Quantib's proprietary platform, Quantib AI Node. As Quantib is now part of DeepHealth (a subsidiary of RadNet), further integration opportunities within the broader DeepHealth/RadNet ecosystem may be available.

Details

Category Neurology AI, Radiology & Imaging AI
Pricing Unknown
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Cleared AI-estimated
Integrations
EHR Not specified
Specialties Neurology, Radiology

What the Web Says

Quantib ND is an AI-powered software designed to assist radiologists in interpreting brain MRI scans, specifically for measuring brain atrophy and detecting white matter hyperintensities (WMH), which are indicators for conditions like aging, dementia, and multiple sclerosis. The software provides quantitative information, segmentations, and visualizations of brain structures and WMHs, comparing results to a normative database to aid in objective reporting and disease progression tracking. Quantib was acquired by RadNet in 2022 and became part of DeepHealth in 2023, with its solutions, including Quantib ND, integrated into DeepHealth's offerings.

Overall: Positive

Strengths

  • Enables constructive multidisciplinary meetings and efficient decision-making.
  • Delivers quantified information for dementia and objective tracking of disease progression for MS patients.
  • Provides valuable objective information from MRI scans, comparing patient results to a non-biased reference population.
  • Facilitates faster detection of tissue changes than manual analysis.
  • Offers automatic atrophy analysis and longitudinal analyses for atrophy and WMH.
  • Allows easy review and editing of WMH segmentation in an internet browser.

Limitations

  • Implementation can face challenges due to time scarcity in healthcare and IT prioritization.
  • Requires standardization of data and scan quality for improved algorithm reliability.
  • A Reddit user found that AI segmentation systems like Quantib did not significantly speed up workflow in their experience with lung imaging, and sometimes made it longer.
  • One study on Quantib Prostate (a related product) showed that while it was a sensitive tool, diagnostic accuracy did not significantly increase with an AI-assisted radiologist compared to an expert, and it could produce false positives.
  • Some general concerns about AI systems in radiology include the need for human review and potential for false positives.

Based on reviews from: FeaturedCustomers, Healthcare Enablers, DeepHealth, Quantib B.V. (FDA 510(k) submission), AuntMinnie, Reddit, Trustpilot, Codatis

Last updated: 2026-07-19

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Press & Coverage

DeepHealth
Brain Health (Quantibu00ae ND) - DeepHealth
DeepHealth's Brain Health, formerly Quantib ND, offers automated segmentation of brain structures and white matter hyperintensities from MRI scans to provide insights into neurodegenerative diseases like Alzheimer's and MS. It includes features for tracking neurodegeneration over time and comparing brain volumes to a reference population.
2026-05
Frontiers in Radiology (PMC)
MRI approach to the patient with suspected dementia: artificial intelligence techniques and semi-quantitative rating scales compared - PMC
This peer-reviewed article assesses the reliability of semi-quantitative and AI-based quantitative brain volume evaluation using Quantib ND software in predicting clinical diagnosis for patients with suspected neurodegenerative diseases. The study highlights Quantib ND's role in providing standardized, quantitative measures of brain atrophy within diagnostic workflows.
2026-01
Neurologyu00ae Neuroimmunology & Neuroinflammation
Multiple Sclerosisu2013Specific Reference Curves for Brain Volumes to Explain Disease Severity
This study utilized Quantib ND version 2.1 for volumetric assessment of brain regions in patients with Multiple Sclerosis, comparing brain volumes to a large reference population. The research aimed to explain disease severity using MS-specific reference curves for brain volumes.
2025-04
Frontiers in Neuroscience
AI-based staging, causal hypothesis and progression of subjects at risk of Alzheimer's disease: a multicenter study - Frontiers
This multicenter study published clinical data on Quantib ND, now part of DeepHealth, emphasizing its value for disease tracking and staging biomarkers in genetic fronto-temporal dementia (FTD). The software aids in identifying optimal treatment windows and monitoring responses by investigating longitudinal brain atrophy rates.
2025-05
BioWorld
Quibim launches QP-Brain software after regulatory clearance | BioWorld
This article mentions Quantib ND as a developed tool for atrophy quantification and white matter hyperintensities, alongside other AI-based tools that have received FDA clearance for analyzing images to aid in diagnosing neurodegenerative diseases.
2024-01
The Imaging Wire
AI Powers Opportunistic Screening | AI Transparency - The Imaging Wire
RadNet rebranded many of its acquired algorithms, including Quantib ND, which is now known as Saige Brain, as part of its DeepHealth portfolio of AI solutions. This move was detailed at RSNA 2023, outlining RadNet's broader AI strategy.
2023-12
RadNet
RadNet Completes the acquisitions of Aidence Holding B.V. and Quantib B.V. to Address Opportunities in Lung and Prostate Cancer Diagnosis and Screening with Artificial Intelligence
RadNet announced the acquisition of Quantib B.V., highlighting Quantib ND as one of its multiple AI-based solutions with both CE mark and FDA 510(k) clearance for quantifying brain abnormalities on MRI. The acquisition aims to expand RadNet's AI offerings in cancer screening and neurodegeneration.
2022-01
AuntMinnie
Quantib releases upgrade of brain MRI software | AuntMinnie
Quantib released an upgrade to its brain MRI software, Quantib ND 2.0, designed to support radiologists in interpreting brain MRI scans by measuring brain atrophy and detecting white-matter hyperintensities associated with aging, dementia, and multiple sclerosis.
2022-01

Videos

Product demos, reviews, and walkthroughs for Quantib ND.

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Frequently Asked Questions

Quantib ND supports radiologists by automatically measuring brain atrophy and detecting white matter hyperintensities (WMH) from MRI brain scans, which are crucial biomarkers for conditions like dementia and multiple sclerosis. It provides quantitative data and compares patient brain volumes to a healthy reference population using percentile curves, aiming to objectify the diagnostic process and track disease progression over time.
Quantib ND is CE certified (Class IIa, MDR pathway) and has received FDA clearance, indicating its approval for medical use in both European and US markets. The software was designed in compliance with international process standards including ISO 14971 for risk management, IEC 62304 for medical device software life cycle processes, and IEC 62366 for usability.
Quantib ND provides complementary information and aids in reporting, but it does not replace the medical professional's diagnosis. Challenges include the need for standardized quality of input data and scans to ensure algorithm reliability, and clinics should be aware that different AI software packages may have distinct effects on clinical interpretation, necessitating internal evaluation before adoption.
Yes, several alternative AI solutions exist for brain imaging analysis and medical 3D visualization. Some examples include NeuroQ, IntelliSpace Portal, MIStar, and BrainSightAI, among others. It is important for clinics to evaluate different packages as they may not be interchangeable and can influence diagnostic interpretation.
Quantib ND is typically offered under a subscription-based pricing model. The cost is generally determined by factors such as the number of installations and the number of users within a healthcare institution. Specific pricing details would require direct inquiry with the vendor.
Quantib ND utilizes machine learning algorithms for automated segmentation and volumetric measurement of brain regions, which helps to eliminate the subjectivity and inconsistency often seen with semi-quantitative manual methods. By providing standardized quantitative output and comparing patient data to a healthy reference population, it aims to reduce interobserver variability and objectify the diagnostic process.
Quantib ND requires 3DT1 MRI and either 3D or 2D T2 FLAIR MRI images as input, typically in DICOM format. While the system processes these inputs automatically, the reliability of the algorithms is dependent on the quality and standardization of the input data and scans.

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Suggest an Edit → | Last Verified: 2026-04-19 | First Added: 2026-04-19
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