Neurophet AQUA

Neurophet

Key Features

Brain region segmentation
Multi-time-point analysis.
Normative comparison
Report generation
Volume quantification
White matter hyperintensity quantification

General Information

Product name

Neurophet AQUA

Company

Neurophet

Subspeciality

Neuro

Modality

Disease targeted

Mild cognitive impairment, Alzheimer's disease, dementia

Main task

Not specified

Technical Specifications

Population

All brain MR

Patient population age

Not specified

Input

3D T1 weighted image

Input format

DICOM

Output

Color-coded segmentation overlays, configurable reports with reference statistics, pre-populated radiological reporting template

Output format

DICOM

Integration

Integration in standard reading environment (PACS)

Deployment

Locally on dedicated hardware

Trigger for analysis

Automatically, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

1 - 10 minutes

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register

FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

03-2020

AI Platforms

Not specified

Resellers

Not specified

Countries present

Paying clinical customers

Research/test users

Pricing Information

Pricing model

One-off payment, Subscription

Based on

Pay-per-scan

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Evaluating brain volume segmentation accuracy and reliability of FreeSurfer and Neurophet AQUA at variations in MRI magnetic field strengths

Peer-Reviewed

View

Automated Scoring of Alzheimer’s Disease Atrophy Scale with Subtype Classification Using Deep Learning-Based T1-Weighted Magnetic Resonance Image Segmentation

Source: vendor | First published: Jul 14, 2024 | Last updated: Jul 9, 2025