Automatic labeling, visualization, and volumetric quantification of segmentable brain structures from MR images, with complementary segmentations, visualizations, and volume measurements for trained professionals evaluating MR brain images and preparing quantitative reports.
Evidence status: each field states its source quality, applicability, and review date. Research pending, information not established, and vendor documentation pending remain distinct outcomes.
Clinical details
What this tool is for
Start with the authorized purpose, then verify how it fits your service line and reading workflow.
Exact purpose
Automatic labeling, visualization, and volumetric quantification of segmentable brain structures from MR images, with complementary segmentations, visualizations, and volume measurements for trained professionals evaluating MR brain images and preparing quantitative reports.
Clinical radiology workflow using a Linux-based server-client system accessible by web browser from configured client systems; the FDA packet does not specify a facility type.
Post-acquisition MR segmentation and volumetric post-processing; white-matter-hyperintensity results require user review, editing when needed, and validation, followed by report and DICOM export.
A 3D T1-weighted MR image for brain-structure segmentation plus an additional T2-weighted FLAIR MR image for white-matter-hyperintensity segmentation; longitudinal analysis uses images from two or more time points.
Automatic segmentations, visualizations, and absolute and relative volumes for brain tissue, CSF, ICV, hippocampus, lobes, cerebellum, and white matter hyperintensities, with single-time-point or longitudinal reports and export of reports and segmentations to a configured DICOM node such as PACS.
White-matter-hyperintensity segmentation must be reviewed and, if necessary, edited before validation. Longitudinal workflows require two or more time points. Results are complementary information for trained medical-professional review, not an independent diagnostic claim. The FDA performance sets were component-specific and do not establish every protocol or local client configuration.
The FDA listing establishes the regulatory identity. It does not by itself establish local workflow fit, pricing, security, or performance in your environment.
Use these fields to structure a vendor demo, security review, and implementation estimate.
Integration
Reports and segmentations are automatically exported to a configured DICOM node, such as a PACS system, and can be viewed with a DICOM viewer; the packet describes a Linux server-client platform and browser clients but does not establish interface versions or local compatibility.
Deployment category preserved from the prior exact-submission review; hosting region, data flow, and current commercial configuration still require vendor confirmation.
ACR AI Central provides an exact-submission model card for Quantib ND; FDA labeling remains controlling for clinical use, limitations, and performance.
Metrics are shown only when they are tied to a source, endpoint, population, and tested product version. Candidate literature without exact product and version linkage is not shown as product evidence.
Evidence summary
FDA algorithm testing compared automated and manual segmentations. Brain-structure testing used 33 T1-weighted scans for brain tissue, CSF, and ICV, 89 T1-weighted scans for hippocampus, and 13 T1-weighted scans for lobes; Dice values ranged from 0.78 to 0.99 across the reported structures. White-matter-hyperintensity testing used 45 paired T1-weighted and T2-weighted FLAIR images and reported mean Dice overlap 0.61 +/- 0.13; relative-volume difference was 0.2 +/- 0.2 percentage points over 38 non-contrast cases. These are segmentation and volume-agreement endpoints.
No contextualized exact-version metric has completed evidence review. Regulatory-document values, when available, are shown above with their limitations.
Quantib ND regulatory performance study summary
DesignStand-Alone Performance
PopulationPopulation described in the exact-submission ACR model card
Scopeexact submission
Tested versionExact product version not reported; regulatory study summarized for FDA submission K213737
Samplen=33
IndependenceIndependence not established
K213737
ACR AI Central summarizes the regulatory study; consult the exact FDA materials before comparative use.
These are common procurement questions; unknown values remain visible until a source supports them.
Pricing and total cost
Vendor documentation pending
Vendor confirmation
Exact FDA submission
Checked 2026-09-09
No public price or quote for the exact K213737 configuration was established in this review.
Reimbursement and coding
Not established in reviewed sources
Reviewed sources checked
Exact FDA submission
Checked 2026-09-09
No exact-product payer policy, coding instruction, or payment determination was established; eligibility must be evaluated by payer, site of service, and use case.
Safety and lifecycle
Postmarket record
Recall and adverse-event records are shown only after product matching. Adverse-event reports do not establish incidence or causality.
Postmarket safety review
The exact-identifier FDA recall query returned no native recall record for K213737. This limited result does not establish absence of recalls or other safety information and does not cover later versions, family records, MAUDE reports, corrections, or field notices.
Verify security and privacy controls: Exact-release security controls, data retention, hosting boundaries, and scoped assurance documentation require vendor confirmation.
Verify training: Current training prerequisites, competency checks, and support commitments for the exact configuration require vendor confirmation.
Verify pricing and total cost: No public price or quote for the exact K213737 configuration was established in this review.
Verify reimbursement and coding relevance: No exact-product payer policy, coding instruction, or payment determination was established; eligibility must be evaluated by payer, site of service, and use case.
Verify local validation and lifecycle monitoring: Current drift, quality, uptime, alert, escalation, and incident-response commitments for the exact configuration require vendor confirmation.
This audit distinguishes completed source review from fields that have not yet been researched.
Exact FDA record reviewedStatus
2026-09-09Last searched
22Fields reviewed
9Source classes checked
3Awaiting review PubMed leads
0Awaiting review trial leads
0Unreviewed FDA recall leads
Exact-submission ACR model-card fields were normalized under the current provenance rules; vendor and independent-study confirmation remain distinct. Exact FDA scope controls clinical claims. ACR provides bounded exact-submission catalog context. Candidate literature metadata remains a discovery queue until full-text identity, endpoint, population, and version review is completed. Automated exact-name discovery found 3 PubMed and 0 ClinicalTrials.gov candidate records. Candidates require human product and version matching; zero candidates is not evidence that no studies exist. Native FDA recall identifiers produced 0 postmarket candidate records; 0 have been reviewed (0 published, 0 rejected) and 0 remain unreviewed.
Candidate leads remain unpublished until a human confirms the exact product and tested version.
Source classes: fda ai list, fda decision summary, acr ai central product, fda device recall, literature index, trial registry, pubmed, clinical trials, openfda device recall
Sources & history
How this profile was documented
Open the ledger for source dates, scope, and research-record updates.
View source ledger and history7 sources - 2 history items
Post-processing image analysis to assist clinicians in viewing, analyzing, and evaluating MR brain images through automated segmentation, quantitative analysis, normative...
Modality
MRI
Anatomy
Brain structures and white matter hyperintensities
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