Automatically label, visualize, and volumetrically quantify segmentable brain structures from MR images; volumetric measurements may be compared with reference percentile data.
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
Automatically label, visualize, and volumetrically quantify segmentable brain structures from MR images; volumetric measurements may be compared with reference percentile data.
Quantitative neuromorphometry PDF report with brain-structure volume measurements, visualizations, age- and gender-matched percentile comparisons, color-coded segmentation images, and plots; segmentation overlays are output as DICOM-JPEG in sagittal, coronal, and axial planes.
The labeled input is 3D T1-weighted DICOM human-head MR data and segmentable brain structures; automated checks may reject nonconforming or corrupted inputs. Results require trained-physician review, and the FDA packet does not establish diagnosis, treatment recommendations, or clinical-outcome performance.
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
DICOM input and DICOM-JPEG output for display on DICOM workstations and picture archiving and communication systems are described; the software is packaged as a container for a high-performance computing clinical environment. A specific PACS, RIS, EHR, routing interface, or current hosting configuration is not established.
Deployment category preserved from the prior exact-submission review; hosting region, data flow, and current commercial configuration still require vendor confirmation.
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 K192051 describes accuracy testing against expert-labeled brain images and reproducibility testing with repeated 3D T1 MR scans. The validation dataset contained 645 unique MR images. Accuracy endpoints were structure-specific Dice, absolute volume error, and relative volume error; examples include whole-brain Dice 0.94, total gray-matter Dice 0.82, total white-matter Dice 0.87, amygdala Dice 0.64-0.66, and intracranial-volume absolute percent difference 3.42. Reproducibility used absolute percent difference for repeated scans. No FDA sensitivity, specificity, diagnostic AUC, or general device-accuracy endpoint is established.
No contextualized exact-version metric has completed evidence review. Regulatory-document values, when available, are shown above with their limitations.
THINQ 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 K192051
Samplen=645
IndependenceIndependence not established
K192051
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 K192051 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 K192051. 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 K192051 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
5Awaiting review PubMed leads
1Awaiting 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 5 PubMed and 1 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
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